conversations
list |
|---|
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on apcalls, refreshed from 07 04 2022 18h 31 mins 22 (exclusively), which have value of HTTP method code, that is != 503, 304, 403, 502 , put to use sorting by call url desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at > '2022-04-07 18:31:22' AND status_code NOT IN ('503', '304', '403', '502') ORDER BY url DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about api_calls, execute sorting based on call url from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls ORDER BY url ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about apicalls, which have values of call urls, that are == :https://www.youtube.com/, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate , which have HTTP methods not equal to DELETE, sort by api call uid desc, provide me only with 10 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://www.youtube.com/', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate') AND method NOT IN ('DELETE') ORDER BY apicall_uid DESC LIMIT 10 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Return me API_CALLS, which have session uid equal to 35876b09581f400f853bae6b9c6abc53, with a response time that is strictly greater than 1899.86703, remain only 5 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('35876b09581f400f853bae6b9c6abc53') AND response_time > 1899.86703 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: Tell me what you know about API CALLS, with a url that is precisely https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://studfile.net/preview/6854369/page:11/ \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://studfile.net/preview/6854369/page:11/') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide insights into users whose sessions summation is smaller than 10 ( not including) besides that get rid of all entries, except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 10 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 call url belonging to APICALLS, with a used methods that are equal to :PUT, POST, PATCH, DELETE , which have apicall unique ids = (df9f3ee321d84f0aa094f69ba0426adc, 69390a22f1f14dc1a3edd13e8caa9ddb, 40392e8cbbc041158c4e168129c182ac), whose values were modified earlier than date 2019-01-16 00:31:51, apply sorting according to date of call update decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls WHERE method IN ('PUT', 'POST', 'PATCH', 'DELETE') AND apicall_uid IN ('df9f3ee321d84f0aa094f69ba0426adc', '69390a22f1f14dc1a3edd13e8caa9ddb', '40392e8cbbc041158c4e168129c182ac') AND updated_at <= '2019-01-16 00:31:51' 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: Provide insights into updated_at value, ses. id, HTTP method code, created at about API CALLS, which response time is greater than 1631.8259 (strictly), with a methods status_code that is precisely (503, 201, 500, 404, 502), remain only 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, session_uid, status_code, created_at FROM apicalls WHERE response_time > 1631.8259 AND status_code IN ('503', '201', '500', '404', '502') 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 data on users who have sessions total greater than 5 (not including) and less than 7 , sort by city name from the lowest value to the highest value , save only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 5 AND total_sessions <= 7 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: I have a curiosity about time before returning result, apicall uid, status code from api_calls, that were overwritten exactly not in a date 03 of May, year 2020 12:58 AM, which APICALL status_code's values are same as 400\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, apicall_uid, status_code FROM apicalls WHERE updated_at != '2020-05-03 00:58:39' AND status_code IN ('400') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Offer me knowledge about users with a mean of duration of sessions per week that is higher than 13 and lower than 29, exclusive 13 besides that remain only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 13 AND mean_week_duration <= 29 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you enlighten me about users additionaly do sorting by name of the city from the highest value to the lowest value , retain only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY city_name DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Return me apicall, with a session id that is not same as b04512d9b50f4c9ca053c95fd78cb6f5, 34d17b9906b34d7fb96332f7b6d172ca , which has values of api calls ids, that are not f82cd96e289a41e79eb113b040635060, dab057f5536041c0bb1fc5cc5a1677c0 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('b04512d9b50f4c9ca053c95fd78cb6f5', '34d17b9906b34d7fb96332f7b6d172ca') AND apicall_uid NOT IN ('f82cd96e289a41e79eb113b040635060', 'dab057f5536041c0bb1fc5cc5a1677c0') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide insights into API_CALLS, which HTTPS methods are not same as PATCH, DELETE, PUT, GET , which status_codes are != {404, 304, 503, 502}, implement sorting according to HTTPS method status code in asc, display me only 9 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('PATCH', 'DELETE', 'PUT', 'GET') AND status_code NOT IN ('404', '304', '503', '502') ORDER BY status_code ASC LIMIT 9 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about apicalls, with a apicall unique identifiers that are equal to 0a986d4fc571411d839497bd275125d8, perform sorting based on API CALL code status from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('0a986d4fc571411d839497bd275125d8') ORDER BY status_code ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display 4 users pieces of information who are users with lowest total sessions\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions ASC LIMIT 5) AS bot LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on updated at, session_uid, url, APICALL method which are parts of API_CALLS, which have values of api call unique identifiers, that are == [d610c2b485104ea69523dff64da8b4a5, d30332ae3289418d90940e463b1866d7], with a call url that is not same as :https://www.youtube.com/, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw , implement sorting according to api call url ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, session_uid, url, method FROM apicalls WHERE apicall_uid IN ('d610c2b485104ea69523dff64da8b4a5', 'd30332ae3289418d90940e463b1866d7') AND url NOT IN ('https://www.youtube.com/', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') 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: I'm eager to find out about api call unique identifier, response time, time of api calls refreshing of APICALLS, implement sorting by initiation date in asc order, display me only 6 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, response_time, updated_at FROM apicalls ORDER BY created_at ASC LIMIT 6 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about 6 users with a time using the app that is above 1906 and below 4195, exclusive 1906 furthermore do sorting by time using the app decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 1906 AND total_duration <= 4195 ORDER BY total_duration 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: Give me details on REST API method return code belonging to api calls, information about which was modified later than Sunday 03 of October, 2021 03h 00m PM (exclusively), which HTTP methods are exactly not PATCH, apply sorting according to site url in desc order, remain only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code FROM apicalls WHERE updated_at > '2021-10-03 15:00:00' AND method NOT IN ('PATCH') ORDER BY url DESC LIMIT 2 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about 4 users whose time spent on the site is bigger than 1766 and smaller than 3557 plus perform sorting by mean_week_duration in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1766 AND total_duration <= 3557 ORDER BY mean_week_duration ASC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me regarding to session id, site url, api calls id, date of API CALL update from APICALLS, which call urls values are != https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db , which have api call uids = :68b034cd07a2435dabde38a569ad5c98, cfbff6d4ad3f4336a4e178688835e6a4 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, url, apicall_uid, updated_at FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') AND apicall_uid IN ('68b034cd07a2435dabde38a569ad5c98', 'cfbff6d4ad3f4336a4e178688835e6a4') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Which API CALLS is API CALLS, which have apicall_uid == [e0308e1030244f3b91f9477e65204359, e66dab89a3d94cc7a5593d6fda150575], which session uids values are exactly 9c610fee655542ffb654f70c62d1d856, do sorting by api call method descending, exclude all entries except 7\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('e0308e1030244f3b91f9477e65204359', 'e66dab89a3d94cc7a5593d6fda150575') AND session_uid IN ('9c610fee655542ffb654f70c62d1d856') ORDER BY method 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: Display users pieces of information who have sum of duration less than 839 (not including) as well as sort by name of the city in asc + exclude all entries except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 839 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: I need to get information about 8 users with a overall quantity of sessions that is <= 4 also perform sorting based on mean app usage time per week in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 4 ORDER BY mean_week_duration ASC LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer me api_calls id, time for response, first appearance date from data on api calls, that have properties methods status_codes, which are equal to 403, which have HTTP methods not same as PUT, GET , save only 10 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, response_time, created_at FROM apicalls WHERE status_code IN ('403') AND method NOT IN ('PUT', 'GET') 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: Could you enlighten me about users who are users with highest average week duration plus execute sorting by total sessions desc beyond that exclude all entries except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top 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: Display users pieces of information with a av of time using the app per week that is below 21 , moreover put to use sorting by mean duration of sessions per week from the highest value to the lowest value in addition retain only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 21 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: Give me details on time before returning result about App prog interface calls, with a session_uid that are = (f32392e8076441938d82064017261bc3, 7224dae414984ef89a67e3702bc7e018, 01922cec4f6840f89b592b260d60c8b9), which have API CALL code status same as [503, 200, 301], sort by methods status_code from the highest value to the lowest value, get rid of all entries, except 2\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time FROM apicalls WHERE session_uid IN ('f32392e8076441938d82064017261bc3', '7224dae414984ef89a67e3702bc7e018', '01922cec4f6840f89b592b260d60c8b9') AND status_code IN ('503', '200', '301') ORDER BY status_code DESC LIMIT 2 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Share insights on 4 users who have sum of duration strictly greater than 3372 and strictly less than 1841\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 1841 AND total_duration > 3372 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 App prog interface calls, which have values of api call methods, that are = POST, show me only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method IN ('POST') LIMIT 2 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on App prog interface calls, which have api call urls not :https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia , refreshed till 03 of August, year 2023 02:00 PM (don't include 03 of August, year 2023 02:00 PM), perform sorting based on date of call update from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') AND updated_at < '2023-08-03 14:00:00' ORDER BY updated_at ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about users whose site usage time is strictly less than 900 in addition execute sorting by total_duration descending besides that provide me only with 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 900 ORDER BY total_duration DESC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about api call id of App prog interface call, which time for response is != 1594.29032, whose values were modified strictly before date March, Wednesday 13, 2019 12:49 AM , execute sorting by REST API method return code ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid FROM apicalls WHERE response_time != 1594.29032 AND updated_at < '2019-03-13 00:49:00' ORDER BY status_code ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about time of apicall alteration, HTTPS method status code, api call unique identifier of apicalls, that have property api call unique identifier, which is same as [9b7259deb3264b999e76579e44085121, e0bbc01e74ff4e45ad0454f03122a738], keep only 6 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, status_code, apicall_uid FROM apicalls WHERE apicall_uid IN ('9b7259deb3264b999e76579e44085121', 'e0bbc01e74ff4e45ad0454f03122a738') 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: Could you enlighten me about users who aren't residents of cities Warsaw, Berlin, Belize City, Tokyo, Madrid plus carry out sorting by quantity of sessions from the smallest value to the largest value plus save only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Warsaw', 'Berlin', 'Belize City', 'Tokyo', 'Madrid') ORDER BY total_sessions ASC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please provide insights on users who hold the bottom position in time spent on the site and in addition do sorting by total_duration from the smallest to the largest and keep only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot ORDER BY total_duration ASC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please provide insights on HTTPS method, time before returning result, date of API CALL refreshing belonging to api_calls, implement sorting by initiation in desc order, show me only 10 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, response_time, updated_at FROM apicalls ORDER BY created_at 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: Could you tell me about users who aren't folks of cities San Juan, Stockholm, Havana, Sydney, Santo Domingo, Cape Town, New York City, London additionaly execute sorting based on city naming descending furthermore eliminate all records except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('San Juan', 'Stockholm', 'Havana', 'Sydney', 'Santo Domingo', 'Cape Town', 'New York City', 'London') 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: Share insights on api calls, that were made beginning from January, Wednesday 16, 2019 06:19 AM, exclusively, which have api call id == c9d096d5b8034f70ae3acaaf3fea735a, 9684a3faf41f48d9ae1b25357a8163df, 998bf6b445754882b196cfc7af84e084 , put to use sorting by response time descending, get rid of all records, except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at > '2019-01-16 06:19:51' AND apicall_uid IN ('c9d096d5b8034f70ae3acaaf3fea735a', '9684a3faf41f48d9ae1b25357a8163df', '998bf6b445754882b196cfc7af84e084') ORDER BY response_time 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: Can you give me an information regarding to users with a overall sessions count that is higher than 2 and lower than 7, exclusive 2 and 7 in addition provide me only with 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 2 AND total_sessions < 7 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 3 users who aren't residents of cities Prague, Paris, Copenhagen, Zurich, Manila, Amsterdam, San Juan, Vienna , moreover perform sorting based on total_sessions in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Prague', 'Paris', 'Copenhagen', 'Zurich', 'Manila', 'Amsterdam', 'San Juan', 'Vienna') 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: Give me details on 4 users with a aver time spent on the site per week that is above 16 and below 40, exclusive both 16 and 40\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 16 AND mean_week_duration < 40 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 apicall, that has property used method, which is != :DELETE, PATCH , which APICALL status_code's are precisely 302, 201, 500 , do sorting by request method code status in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('DELETE', 'PATCH') AND status_code IN ('302', '201', '500') ORDER BY status_code DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please provide insights on users whose site usage time is strictly smaller than 550 and strictly bigger than 2970 (both not including) as well as save only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 550 AND total_duration > 2970 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 session unique id, response time of api_calls, execute sorting by session uid from the lowest value to the highest value, display me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, response_time FROM apicalls ORDER BY session_uid 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: Provide me an information about api_calls, whose values were updated previously than 2022 03 09 07.16.00 PM, which HTTPS method status code value is not same as 302, 900 , execute sorting based on REST API method in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at <= '2022-03-09 19:16:00' AND status_code NOT IN ('302', '900') 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: Which API CALL are API CALL, that has properties sessions ids, which are exactly 42e353bf558a4d71ad34992c9e6d6d62\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('42e353bf558a4d71ad34992c9e6d6d62') LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about App prog interface call, with a request method code status that is exactly 200, 500 , which has values of session ids, that are equal to 15254102663a444d86467561d1e180d4, 7ae2b1c1338e47f69aa4e46e1f66193a , perform sorting by time for response from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('200', '500') AND session_uid IN ('15254102663a444d86467561d1e180d4', '7ae2b1c1338e47f69aa4e46e1f66193a') 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: Return me API_CALLS, which have value of session unique id, that is == e1b3920fa58142acaacce294f26ac561, 5a3be9515e294e8180acc23783878f84, 899bd547fa1044f89e890b9fe67f20ae , that were made for the first time after 01-05-2020 09h 27m 42s AM (exclusively), execute sorting based on HTTP method descending, provide me only with 9 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('e1b3920fa58142acaacce294f26ac561', '5a3be9515e294e8180acc23783878f84', '899bd547fa1044f89e890b9fe67f20ae') AND created_at > '2020-05-01 09:27:42' ORDER BY method DESC LIMIT 9 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display to me users pieces of information with a aver of time using the app per week that is above 20 , execute sorting by name of the city from the largest to the smallest beyond that display me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 20 ORDER BY city_name DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display to me users pieces of information I can't find living in city Rome furthermore execute sorting based on site usage time in descending order , display me only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Rome') 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: I have a curiosity about API CALL, which was modified up to June, Tuesday 21, 2022 09:20 PM (exclusively), which method is != :DELETE, POST , which time before returning result value is not equal to 3799.96252\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at < '2022-06-21 21:20:00' AND method NOT IN ('DELETE', 'POST') AND response_time != 3799.96252 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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, which have HTTP methods same as DELETE, POST , that were made since Sunday 02 of April, 2023 12h 00m AM (don't include Sunday 02 of April, 2023 12h 00m AM), implement sorting by time for response desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method IN ('DELETE', 'POST') AND created_at > '2023-04-02 00:00:47' 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 need to get information about ses. id from apcalls, that were created for the first time at a date Monday 03 of May, 2021 12h 58m AM, which have session id not 9a44115bd894421b9525df69136794ec, keep only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid FROM apicalls WHERE created_at = '2021-05-03 00:58:21' AND session_uid NOT IN ('9a44115bd894421b9525df69136794ec') LIMIT 2 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you enlighten me about APICALLS, with a session uids that are not same as {75b06992c06c4af291ab593250b71724, 75b80b9e48f948c4a60ce2a1cfd629c8, a273c21441e949fdac4acd05e679734c}, which have method equal to POST, PATCH, GET \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('75b06992c06c4af291ab593250b71724', '75b80b9e48f948c4a60ce2a1cfd629c8', 'a273c21441e949fdac4acd05e679734c') AND method IN ('POST', 'PATCH', 'GET') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about API CALL method, updated at, session uid, first execution date out of apcalls, information about which was modified since 22-01-2021 22:00:00 (don't include 22-01-2021 22:00:00), appeared before date 2019-04-15 18:00:33 (exclusively), save only 10 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, updated_at, session_uid, created_at FROM apicalls WHERE updated_at > '2021-01-22 22:00:00' AND created_at < '2019-04-15 18:00:33' LIMIT 10 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on App prog interface calls, that have property REST API method return code, which is = 400, which have session_uid exactly 428373f387ce4b04a2ef685e8a0b02a0, implement sorting by REST API method return code desc, display only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('400') AND session_uid IN ('428373f387ce4b04a2ef685e8a0b02a0') ORDER BY status_code DESC LIMIT 2 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Print me APICALLS, that were created earlier than 00:15:00, 2022/05/24, with a url that is exactly https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at <= '2022-05-24 00:15:00' AND url IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about status_code, time of api_call update belonging to apicalls, which have session_uid same as 00b82395756448a88c5a0f765e1684f2, which APICALL method value is not same as GET, exclude all entries except 7\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, updated_at FROM apicalls WHERE session_uid IN ('00b82395756448a88c5a0f765e1684f2') AND method NOT IN ('GET') LIMIT 7 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about 8 users who hold the top position in sum of duration\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm interested in learning about session unique id, api call id, HTTPS method which are parts of App prog interface calls, that have properties apicall unique identifiers, which are = 7fb692b7abca4dd1a0ad7b960ca914ee, with a api call url that is not equal to https://www.youtube.com/, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449 , perform sorting based on api call url in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, apicall_uid, method FROM apicalls WHERE apicall_uid IN ('7fb692b7abca4dd1a0ad7b960ca914ee') AND url NOT IN ('https://www.youtube.com/', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') ORDER BY url DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about HTTPS method status code, used method, updated_at value out of API_CALL, that was initiated strictly before date March, Tuesday 15, 2022 12:41 AM , which was updated exclusively after date 08:16:27, 2021/03/15 , do sorting by call url from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, method, updated_at FROM apicalls WHERE created_at < '2022-03-15 00:41:50' AND updated_at > '2021-03-15 08:16:27' ORDER BY url 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: Show me apicalls, changed not in a date 2022-07-06 07h 00m 23s PM, which API CALL code statuses values are == 404, 304, 502 , put to use sorting by api call url ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at != '2022-07-06 19:00:23' AND status_code IN ('404', '304', '502') 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: Inform me regarding to 8 users who have app usage time strictly smaller than 370 and bigger than 3083 and in addition execute sorting by total amount of duration ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 370 AND total_duration >= 3083 ORDER BY total_duration ASC LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about REST API method return code, session id, site url, response time which are parts of api_calls, that were refreshed previously than 2021-12-15 20:23:00 (inclusively), which have values of API CALL code statuses, that are equal to 503, do sorting by date of call update in asc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, session_uid, url, response_time FROM apicalls WHERE updated_at <= '2021-12-15 20:23:00' AND status_code IN ('503') 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: Please offer data on 6 users whose cities are Cape Town, Moscow as well as perform sorting by city name from the largest to the smallest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Cape Town', 'Moscow') 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: Give me details on ses. id, API CALL code status, api call url of APICALLS, which have APICALL status_code precisely (404, 401, 403, 201, 502), which have value of session unique id, that is same as fbcdaed057d44636803ccb13767db7a3, 5c8708c86ff04b77b736a8a705900746 , execute sorting by first appearance descending, exclude all entries except 7\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, status_code, url FROM apicalls WHERE status_code IN ('404', '401', '403', '201', '502') AND session_uid IN ('fbcdaed057d44636803ccb13767db7a3', '5c8708c86ff04b77b736a8a705900746') ORDER BY created_at DESC LIMIT 7 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about 8 users who aren't currently living in cities Edinburgh, Hanoi, Moscow, Cairo additionaly carry out sorting by duration of sessions per week divided by quant of days in a week decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Edinburgh', 'Hanoi', 'Moscow', 'Cairo') ORDER BY mean_week_duration DESC LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about users who are living in cities Berlin, Mumbai, Istanbul, Edinburgh , and perform sorting based on total sessions count in desc and show me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Berlin', 'Mumbai', 'Istanbul', 'Edinburgh') 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 date when was updation of apicall, status code belonging to API_CALL, which has session id equal to 77a4577b1cf345cebbf49ca00d2c8fc8, execute sorting based on initiation date descendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, status_code FROM apicalls WHERE session_uid IN ('77a4577b1cf345cebbf49ca00d2c8fc8') ORDER BY created_at DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about 8 users whose site usage time is smaller than 2974 inclusively\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 2974 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 whose duration summation is less than 3461 and strictly greater than 2339 beyond that put to use sorting by time in app descending as well as display me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 2339 AND total_duration <= 3461 ORDER BY total_duration DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on api_calls id, session id which are parts of API CALLS, which have value of used method, that is == [POST, DELETE, GET, PATCH], that were made till date Sunday 06 of January, 2019 06h 53m PM , apply sorting by time before returning result in ascending, keep only 7 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, session_uid FROM apicalls WHERE method IN ('POST', 'DELETE', 'GET', 'PATCH') AND created_at <= '2019-01-06 18:53:06' ORDER BY response_time 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: Print me time of creation, status_code, time of apicall alteration, apicall_uid about API_CALLS, which have values of session uids, that are != ac443cd4e5054b458ccdfe9f0d6bdbbf, information about which was modified previously than 2019 12 14 12.57.19 AM (inclusively), sort by api call unique identifier ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, status_code, updated_at, apicall_uid FROM apicalls WHERE session_uid NOT IN ('ac443cd4e5054b458ccdfe9f0d6bdbbf') AND updated_at <= '2019-12-14 00:57:19' 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: Print me api_calls, which response time value is exclusively below 4163.49252, which have session uid exactly not 5d5f2574c16a47d2b7682dd48102aa5d, 52314d7c09d549aa9aef07f7f077ea39 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time < 4163.49252 AND session_uid NOT IN ('5d5f2574c16a47d2b7682dd48102aa5d', '52314d7c09d549aa9aef07f7f077ea39') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about App prog interface calls, which were altered previously before 27 of December, year 2023 05:06 AM (27 of December, year 2023 05:06 AM not including), with a ses. id that is = a855a00282014076b4b966cdcade137c, sort by apicall unique identifier descending, retain only 7 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at < '2023-12-27 05:06:00' AND session_uid IN ('a855a00282014076b4b966cdcade137c') ORDER BY apicall_uid DESC LIMIT 7 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me 4 users who have total_duration smaller than 3007 and bigger than 1307 furthermore implement sorting by total_sessions decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1307 AND total_duration <= 3007 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 eager to find out about users who are residents of cities Ho Chi Minh City, Prague, Bridgetown plus sort by app usage time in asc + keep only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Ho Chi Minh City', 'Prague', 'Bridgetown') ORDER BY total_duration ASC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about session uid, upd. of apicalls date, response time from APICALL, that was created exclusively before October, Sunday 20, 2019 12:41 AM, which response time value is smaller than 1523.26434, exclusively\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, updated_at, response_time FROM apicalls WHERE created_at < '2019-10-20 00:41:29' AND response_time < 1523.26434 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 call url, api calls id, time of creation, time before returning result belonging to APICALLS, which have urls = [https://dev.wring.dev/details/project-explorer/view-project/449, https://studfile.net/preview/6854369/page:11/], that have property api call method, which is exactly not (PATCH, POST, GET), perform sorting by REST API method in descending, retain only 8 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, apicall_uid, created_at, response_time FROM apicalls WHERE url IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://studfile.net/preview/6854369/page:11/') AND method NOT IN ('PATCH', 'POST', 'GET') 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: I'm curious about api call url out of apcalls, which time for response is bigger than 542.12297, inclusively 542.12297, that were made for the first time later than 2023 12 12 04h 39 mins 00, implement sorting according to upd. of apicalls date from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls WHERE response_time >= 542.12297 AND created_at >= '2023-12-12 04:39:00' 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 apcall, that has properties call urls, which are == https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia , which has time before returning result greater than 3391.13288, inclusively, execute sorting by created_at value from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') AND response_time >= 3391.13288 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: Print me APICALLS, which have time before returning result not equal to 580.01026, which have values of api_calls ids, that are exactly [132beacc4d6a4530aed31d010c61b0ea, 21d73fb876cb44c9942c1dd48128ac1c, 1027e9e236c643a7bc4535d9d6191b93], save only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time != 580.01026 AND apicall_uid IN ('132beacc4d6a4530aed31d010c61b0ea', '21d73fb876cb44c9942c1dd48128ac1c', '1027e9e236c643a7bc4535d9d6191b93') 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 API_CALLS, that have properties APICALL status_code's, which are not same as {900, 201, 503, 200}, perform sorting by APICALL status_code from the lowest to the highest, get rid of all entries, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('900', '201', '503', '200') ORDER BY status_code 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 date when was updation of apicall about APICALL, whose values were altered in 21-08-2022 08:11:00, with a session_uid that are != 93b511457b4545eca7f6af06b40fcc7c, apply sorting by site url decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at FROM apicalls WHERE updated_at = '2022-08-21 08:11:00' AND session_uid NOT IN ('93b511457b4545eca7f6af06b40fcc7c') 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 want to know about users , save only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Return me apicalls, which have call urls not same as https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, execute sorting based on response time in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') ORDER BY response_time DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me users who aren't residing in cities Belize City, Athens, New York City plus do sorting by overall total duration in ascending order plus keep only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Belize City', 'Athens', 'New York City') ORDER BY total_duration ASC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about apicalls, which have value of REST API method, that is exactly not {PUT, PATCH}, which session id value is not equal to [33d727c074844864ae3a512e80ea50d1, 26f15c6305cf474fafbe8601de6445db, faf8427ef0074560b0dfeb1c22c253e6], execute sorting based on initiation ascending, remain only 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('PUT', 'PATCH') AND session_uid NOT IN ('33d727c074844864ae3a512e80ea50d1', '26f15c6305cf474fafbe8601de6445db', 'faf8427ef0074560b0dfeb1c22c253e6') ORDER BY created_at 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 users I can find living in cities Panama City, Tegucigalpa, Madrid, Santiago, Kuala Lumpur, New York City, Berlin, Santo Domingo as well as perform sorting by total_duration risingly and in addition keep only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Panama City', 'Tegucigalpa', 'Madrid', 'Santiago', 'Kuala Lumpur', 'New York City', 'Berlin', 'Santo Domingo') ORDER BY total_duration ASC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show a user to me whose overall total sessions exceeds 10 , and put to use sorting by mean_week_duration decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 10 ORDER BY mean_week_duration 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: Provide insights into apicalls, which were modified at August 11, 2022 05:00 AM, which have values of HTTPS methods, that are exactly PUT, PATCH, GET, POST , apply sorting according to date of creation from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at = '2022-08-11 05:00:13' AND method IN ('PUT', 'PATCH', 'GET', 'POST') 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: Display to me users pieces of information who are bottom users based on mean_week_duration moreover execute sorting by mean site usage time per week from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration ASC LIMIT 5) AS bot ORDER BY mean_week_duration ASC;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about a user I can't find living in cities Budapest, London, San Salvador, Dubai, Santiago, Sydney as well as execute sorting by name of the city from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Budapest', 'London', 'San Salvador', 'Dubai', 'Santiago', 'Sydney') ORDER BY city_name DESC LIMIT 1;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about 7 users who are at the peak of user rankings based on mean week duration\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top LIMIT 7;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about 6 users whose total duration is bigger than 4816 (not including) furthermore execute sorting based on total amount of duration asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 4816 ORDER BY total_duration ASC LIMIT 6;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about users who are users with lowest total duration , and carry out sorting by time spent on the site descendingly and in addition save only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot ORDER BY total_duration DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display to me 3 users pieces of information with a total amount of duration that is higher than 3809 and lower than 278, exclusive 278 beyond that perform sorting based on name of the city from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 278 AND total_duration >= 3809 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: Share insights on API CALLS, which have value of HTTPS method, that is not same as PUT, which response time is inclusively lesser than 3522.65598, implement sorting by session_uid from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('PUT') AND response_time <= 3522.65598 ORDER BY session_uid DESC ;\n"
}
] |
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