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: Display users pieces of information with a time using the app that is above 836 and below 4662, exclusive 836 inclusive 4662 + do sorting by average week duration from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 836 AND total_duration <= 4662 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: Can you give me an information regarding to users who have the lowest app usage time , moreover apply sorting according to mean site usage time per week from the largest value to the smallest value furthermore show me only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot ORDER BY mean_week_duration DESC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about APICALLS, executed for the first time at 13-12-2020 07h 02m 58s AM, which have response time lesser than 1939.33476\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at = '2020-12-13 07:02:58' AND response_time <= 1939.33476 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 CALL, that has properties REST API methods, which are not :POST, DELETE, GET, PATCH , whose values were overwritten inclusively before 2020 08 18 00h 59 mins 47, apply sorting by registration date in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('POST', 'DELETE', 'GET', 'PATCH') AND updated_at <= '2020-08-18 00:59:47' ORDER BY created_at DESC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer data on users who aren't inhabitants of cities Buenos Aires, Cape Town, Mexico City moreover execute sorting by overall quantity of sessions in descending order plus display me only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Buenos Aires', 'Cape Town', 'Mexico City') ORDER BY total_sessions DESC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'd like to be informed about time before returning result, REST API method return code, API CALL method, updated_at value from API_CALL, execute sorting based on first execution date in descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, status_code, method, updated_at FROM apicalls ORDER BY created_at DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about users who have overall sessions count strictly smaller than 10 and bigger than 5 , moreover carry out sorting by duration summation in descending order and in addition get rid of all records, except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 5 AND total_sessions < 10 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: Tell me what you know about 2 users with a overall sessions count that is higher than 5 and lower than 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 4 AND total_sessions >= 5 LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me session id out of api_calls, which have api call uid same as [270eaad68aed420f9164039e65756daa, fdeec7b80d304661b72ab260e6cd3d04, 2d15c0a057dc49439cc118711ed8191a], which have REST API method precisely :PUT, PATCH, DELETE, GET , implement sorting by time for response risingly, show me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid FROM apicalls WHERE apicall_uid IN ('270eaad68aed420f9164039e65756daa', 'fdeec7b80d304661b72ab260e6cd3d04', '2d15c0a057dc49439cc118711ed8191a') AND method IN ('PUT', 'PATCH', 'DELETE', 'GET') ORDER BY response_time ASC LIMIT 4 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about users with a total duration amount that is above 1352 and below 4377 as well as keep only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1352 AND total_duration <= 4377 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please provide insights on time of api calls refreshing, api call unique identifier about APICALLS, which session_uid are exactly not 13405d1127394297bf61a808ceafd61b, 1da2c9d61e7744c1b03840c686e662f2 , perform sorting based on method from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, apicall_uid FROM apicalls WHERE session_uid NOT IN ('13405d1127394297bf61a808ceafd61b', '1da2c9d61e7744c1b03840c686e662f2') 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: Inform me regarding to apicalls, that have properties api call ids, which are exactly ef46f63bb43045b9baf5f1b0855304d4, 1fad0340437c4eb2aa40bf5f81a35c89, 06a471d55dfc49da9b793b01d9ac5050 , which have session uids precisely 8672af40dc0f4ec8becd5bb6a07bcde4, 071fc5a0353048fe9fc98542f3bb99d4, eec98d9f3937413897a7827d6c31b869 , execute sorting based on response time from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('ef46f63bb43045b9baf5f1b0855304d4', '1fad0340437c4eb2aa40bf5f81a35c89', '06a471d55dfc49da9b793b01d9ac5050') AND session_uid IN ('8672af40dc0f4ec8becd5bb6a07bcde4', '071fc5a0353048fe9fc98542f3bb99d4', 'eec98d9f3937413897a7827d6c31b869') 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: Could you tell me about request method code status, time for response, initiation date of API_CALL, which session_uid are exactly not 03a991f401d84ed4afcfe2e54bb669ca, b0220a1df8704cd98a45b916ae4f4934 , apply sorting by response time in asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, response_time, created_at FROM apicalls WHERE session_uid NOT IN ('03a991f401d84ed4afcfe2e54bb669ca', 'b0220a1df8704cd98a45b916ae4f4934') ORDER BY response_time ASC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Offer me knowledge about 3 users with a sessions total that is higher than 5 and lower than 2, exclusively 2 and 5 besides that implement sorting according to urban center name desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 2 AND total_sessions > 5 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: Show api_call to me, with a request method that is = :PATCH, DELETE, POST , that has properties APICALL status_code's, which are same as 304\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method IN ('PATCH', 'DELETE', 'POST') AND status_code IN ('304') LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about apicall unique identifier, created_at value out of apicall, which has values of apicall uids, that are not equal to 08c59478f4c04ab5a40f10306e4b0377, that was overwritten since 29-01-2019 12h 16m 42s AM (don't include 29-01-2019 12h 16m 42s AM), implement sorting by API CALL method in asc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, created_at FROM apicalls WHERE apicall_uid NOT IN ('08c59478f4c04ab5a40f10306e4b0377') AND updated_at > '2019-01-29 00:16:42' ORDER BY method 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: Display 7 users pieces of information who live in cities Jakarta, Kuala Lumpur, Vienna, Nassau, Manila, San Pedro + implement sorting by town naming ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Jakarta', 'Kuala Lumpur', 'Vienna', 'Nassau', 'Manila', 'San Pedro') ORDER BY city_name ASC LIMIT 7;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me about API_CALLS, which response time is higher than 3656.3356, exclusively 3656.3356, which have methods status_code exactly not {304, 201}, put to use sorting by REST API method descendingly, keep only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time > 3656.3356 AND status_code NOT IN ('304', '201') ORDER BY method DESC LIMIT 4 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about updated_at, apicall uid, HTTPS method, date of creation out of apcalls, that were changed before the Wednesday 20 of November, 2019 06h 43m PM inclusively, perform sorting by api call url ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, apicall_uid, method, created_at FROM apicalls WHERE updated_at <= '2019-11-20 18:43:00' 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 want to know about users whose app usage time is strictly bigger than 144 additionaly remain only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 144 LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer data on users whose city isn't Karachi in addition show me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Karachi') 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 users who have sum of duration smaller than 4458 as well as implement sorting according to sessions total in descending order besides that display me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 4458 ORDER BY total_sessions DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about session uid, methods status_code of apicalls, that have properties methods, which are not same as :DELETE, PUT , execute sorting by apicall unique identifier in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, status_code FROM apicalls WHERE method NOT IN ('DELETE', 'PUT') ORDER BY apicall_uid DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Offer me knowledge about 2 users plus apply sorting according to mean app usage time per week in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about users who aren't living in cities Warsaw, Johannesburg, Manila , perform sorting based on overall quantity of sessions from the smallest to the largest plus remain only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Warsaw', 'Johannesburg', 'Manila') 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: Print me api_call, which REST API methods values are same as PUT, that was created till the 20-07-2021 00:00:00 (20-07-2021 00:00:00 not including), sort by first appearance in descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method IN ('PUT') AND created_at < '2021-07-20 00:00:00' ORDER BY created_at DESC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Offer me knowledge about users who are top-tier based on value of time using the app + save only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'd like to be informed about 7 users who have mean time in app per week greater than 7 and less than 34 (not including) furthermore perform sorting based on overall sessions count descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 7 AND mean_week_duration < 34 ORDER BY total_sessions DESC LIMIT 7;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Share insights on date of creation, updated at, APICALL status_code which are parts of App prog interface calls\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, updated_at, status_code FROM apicalls ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about API CALL, which HTTPS method status codes values are exactly not 900, 502, 503, 403 , initiated before 10-04-2020 12h 43m 07s AM (inclusively)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('900', '502', '503', '403') AND created_at <= '2020-04-10 00:43:07' ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about users furthermore perform sorting based on mean duration of sessions per week in ascending order moreover display only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY mean_week_duration ASC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about apicall, that was made for the first time previously than May 30, 2022 12:00 AM\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at <= '2022-05-30 00:00:46' 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: Which api call id, updated_at value, api call url, request method about apicalls is apicalls, which methods status_codes values are == :900, 201, 502, 404 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, updated_at, url, method FROM apicalls WHERE status_code IN ('900', '201', '502', '404') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show 6 users to me who are residents of cities San Juan, Budapest, Beijing, Dubai\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('San Juan', 'Budapest', 'Beijing', 'Dubai') LIMIT 6;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about initiation, api call uid, REST API method return code of API_CALLS, information about which was overwritten till 31-08-2021 12h 36m 44s AM (exclusively), executed for the first time earlier than 2020-08-30 12h 00m 33s AM, implement sorting according to created at desc, keep only 9 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, apicall_uid, status_code FROM apicalls WHERE updated_at <= '2021-08-31 00:36:44' AND created_at <= '2020-08-30 00:00:33' ORDER BY created_at DESC LIMIT 9 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide insights into created_at value, url which are parts of apicalls, that were executed for the first time before date 02 of September, year 2021 12:00 AM (exclusively), which have values of APICALL status_code's, that are same as [900, 201]\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, url FROM apicalls WHERE created_at < '2021-09-02 00:00:20' AND status_code IN ('900', '201') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about call url, first appearance, session unique id of API CALL, that has property session_uid, which is not equal to 2a0302485f5a4735b5a6dcaee9cc7739, b461ebfdc8ff4acda194c513296b837c , which url is equal to [https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime], apply sorting according to url in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, created_at, session_uid FROM apicalls WHERE session_uid NOT IN ('2a0302485f5a4735b5a6dcaee9cc7739', 'b461ebfdc8ff4acda194c513296b837c') AND url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') 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: Could you enlighten me about api_calls, which have values of apicall unique ids, that are exactly not 2dd2f5bfd1d448ac86ff691c162eee8a, do sorting by response time from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid NOT IN ('2dd2f5bfd1d448ac86ff691c162eee8a') 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 4 users with a mean_week_duration that is higher than 38 and lower than 2, exclusive 38 and apply sorting by city naming ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 2 AND mean_week_duration > 38 ORDER BY city_name ASC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show APICALL method, url, apicall unique identifier out of APICALLS to me, with a call urls that are equal to (https://dev.wring.dev/details/project-explorer/view-project/449, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw), which session unique id value is equal to 120a1eb750384c7e8eb201e61e156845, 20309dad4b6a48a9b9ebfca4f50aae80, fdf1c0f4f0664890b82753b5ce540a40 , perform sorting by time of api calls refreshing from the largest to the smallest, keep only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, url, apicall_uid FROM apicalls WHERE url IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') AND session_uid IN ('120a1eb750384c7e8eb201e61e156845', '20309dad4b6a48a9b9ebfca4f50aae80', 'fdf1c0f4f0664890b82753b5ce540a40') ORDER BY updated_at 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'm interested in learning about 8 users who have mean duration of sessions per week greater than 20 and less than 35 + perform sorting by total duration from the highest to the lowest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 20 AND mean_week_duration <= 35 ORDER BY total_duration DESC LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about 3 users who have median of duration of sessions per week strictly bigger than 21 and smaller than 29 plus sort by time spent on the site from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 21 AND mean_week_duration <= 29 ORDER BY total_duration DESC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show users to me who have total_sessions strictly smaller than 2 and bigger than 6 and sort by aver time spent on the site per week from the lowest to the highest beyond that keep only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 2 AND total_sessions >= 6 ORDER BY mean_week_duration ASC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm interested in learning about site url about App prog interface calls, which site urls values are not same as https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, which were refreshed not at a date 07 06 2019 02.00.00 AM, remain only 6 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') AND updated_at != '2019-06-07 02:00:00' LIMIT 6 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about api calls, with a site url that is exactly https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, that were made for the first time up to 2021/08/09, 04:25:00, exclusively, perform sorting by date of creation in ascending order, save only 8 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') AND created_at < '2021-08-09 04:25:00' ORDER BY created_at ASC LIMIT 8 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display to me 4 users pieces of information who have sum of duration strictly bigger than 4037\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 4037 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer data on 6 users with a duration summation of sessions that is below 2529, inclusive num 2529\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 2529 LIMIT 6;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about App prog interface calls, updated till 2021/05/09, 00:18:00 (exclusively), show me only 5 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at <= '2021-05-09 00:18:00' LIMIT 5 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about 2 users whose total time using the app is bigger than 437 and smaller than 4218 (not including)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 437 AND total_duration < 4218 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 id, time before returning result, api call url, apicall updation date from App prog interface calls, that were executed for the first time strictly before date December 27, 2023 02:26 AM , that have properties HTTP methods, which are not POST, GET , execute sorting based on api call method from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, response_time, url, updated_at FROM apicalls WHERE created_at < '2023-12-27 02:26:00' AND method NOT IN ('POST', 'GET') 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: Show me api call url, created_at value, session id about apcalls, which have request method code status equal to 204, 404 , which site url value is same as (https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia), with a session uids that are equal to 0a679720392b4796b5130f34c04fcd32, carry out sorting by updated at in desc, save only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, created_at, session_uid FROM apicalls WHERE status_code IN ('204', '404') AND url IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') AND session_uid IN ('0a679720392b4796b5130f34c04fcd32') ORDER BY updated_at DESC LIMIT 4 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide insights into users furthermore sort by aver of time using the app per week from the lowest value to the highest value in addition to this exclude all entries except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users 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: Can you give me an information regarding to users who have mean of duration of sessions per week smaller than 44 and strictly bigger than 14 , and perform sorting based on mean week duration in desc order , and keep only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 14 AND mean_week_duration <= 44 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: Inform me about 4 users who have mean_week_duration smaller than 27 and bigger than 17 in addition carry out sorting by average week duration from the largest to the smallest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 17 AND mean_week_duration <= 27 ORDER BY mean_week_duration DESC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about request method, ses. id, updated_at value, time before returning result belonging to APICALL, which has response time != 4485.64818, with a methods status_code that is same as 204, 503 , perform sorting based on response time in asc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, session_uid, updated_at, response_time FROM apicalls WHERE response_time != 4485.64818 AND status_code IN ('204', '503') 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: Tell me about REST API method return code, method, response time belonging to api_call, whose values were updated before 31 07 2022 00h 08 mins 00 (exclusively), which has value of REST API method return code, that is same as :900, 201, 301, 200 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, method, response_time FROM apicalls WHERE updated_at < '2022-07-31 00:08:00' AND status_code IN ('900', '201', '301', '200') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Which API_CALL are API_CALL, initiated not at a date December, Saturday 14, 2019 08:00 AM, modified later than 30 08 2023 09.28.46 PM (exclusively), execute sorting based on updated_at value decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at != '2019-12-14 08:00:08' AND updated_at > '2023-08-30 21:28:46' ORDER BY updated_at DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me regarding to API_CALLS, apply sorting by HTTPS method status code ascending, save only 9 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls 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 want to know about users with a av of time using the app per week = 29 plus display me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE 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: I'm interested in learning about 3 users who are bottom users based on overall median of duration of sessions per week\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration ASC LIMIT 5) AS bot LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please provide insights on 6 users furthermore put to use sorting by mean app usage time per week in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY mean_week_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: Show apicall unique identifier, HTTPS method status code, api call method which are parts of apcalls to me, information about which was updated before the 04-10-2021 02h 14m 00s PM inclusively, which have value of HTTPS method status code, that is precisely 204, 302, 403, 900, 301 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, status_code, method FROM apicalls WHERE updated_at <= '2021-10-04 14:14:00' AND status_code IN ('204', '302', '403', '900', '301') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about 8 users whose sum of duration is strictly greater than 1804 and strictly less than 4456\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 1804 AND total_duration < 4456 LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me 4 users who have total amount of duration less than 4193 ( not including)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 4193 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'd like to be informed about users whose app usage time is strictly bigger than 2980 and smaller than 2272 also put to use sorting by sum of duration from the highest value to the lowest value in addition remain only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 2272 AND total_duration > 2980 ORDER BY total_duration DESC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about API CALLS, that were created for the first time not at March, Tuesday 21, 2023 01:41 AM, that have property response time, which is strictly bigger than 4033.59366, perform sorting based on call url from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at != '2023-03-21 01:41:51' AND response_time > 4033.59366 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: Display to me users pieces of information who have app usage time greater than 1010 and less than 3262 (not including) moreover show me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1010 AND total_duration < 3262 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Find API CALLS who meets following properties:, appeared not in 15 10 2023 10.00.54 AM, modified later after November 10, 2021 12:05 PM (November 10, 2021 12:05 PM including), implement sorting by response time ascendingly, remain only 5 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at != '2023-10-15 10:00:54' AND updated_at >= '2021-11-10 12:05:00' ORDER BY response_time ASC LIMIT 5 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about response time belonging to apicalls, which were updated till 25 08 2023 08h 31 mins 21 (25 08 2023 08h 31 mins 21 including), that have property api_calls id, which is exactly not :f51615e377904ed0915391a014f3cca3, 4689461bc5874a09afe5f38bce5b4db7, 98299e9c1d084eb28b3711123301e0f2 , implement sorting by site url in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time FROM apicalls WHERE updated_at <= '2023-08-25 08:31:21' AND apicall_uid NOT IN ('f51615e377904ed0915391a014f3cca3', '4689461bc5874a09afe5f38bce5b4db7', '98299e9c1d084eb28b3711123301e0f2') 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: Offer me knowledge about first execution date, HTTPS method status code out of APICALL, which has value of url, that is exactly https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych , that has property response time, which is lesser than 2759.98468, inclusively 2759.98468\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, status_code FROM apicalls WHERE url IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') AND response_time <= 2759.98468 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 response time, date when was updation of apicall, created at of App prog interface calls, that were refreshed after date 08 05 2022 03.00.25 PM (inclusively), which have values of apicall uids, that are == (7d16d7e8d9e04f21b36c4d440806680f, 5aeb457026634f30be183ccc3e6eaab7), apply sorting according to updated_at value descending, keep only 10 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, updated_at, created_at FROM apicalls WHERE updated_at >= '2022-05-08 15:00:25' AND apicall_uid IN ('7d16d7e8d9e04f21b36c4d440806680f', '5aeb457026634f30be183ccc3e6eaab7') ORDER BY updated_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: Display users pieces of information in addition carry out sorting by total amount of duration in descending besides that provide me only with 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY total_duration DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about APICALLS, which have value of session id, that is exactly (523173e49cd14327a20cc62ee80ecf75, 188b0ee8e68d41fcba590d56d83c4b23, 9e0248c0058f4bb99b17f5e8ee2345d1), which have HTTPS method exactly GET, PATCH, POST, DELETE , sort by API CALL code status from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('523173e49cd14327a20cc62ee80ecf75', '188b0ee8e68d41fcba590d56d83c4b23', '9e0248c0058f4bb99b17f5e8ee2345d1') AND method IN ('GET', 'PATCH', 'POST', 'DELETE') 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: Please provide insights on created at from api_call, which has response time below 4185.12058, exclusively 4185.12058, which request method code statuses are same as 403, 404, 401, 500, 304 , sort by time before returning result descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at FROM apicalls WHERE response_time < 4185.12058 AND status_code IN ('403', '404', '401', '500', '304') 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: Tell me what you know about 5 users whose average week duration is less than 3 and strictly greater than 34\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 3 AND mean_week_duration > 34 LIMIT 5;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me regarding to call url, session id, updated_at value belonging to apcalls, which response time value is higher than 1158.8049 (including), that have properties site urls, which are not equal to https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, https://www.youtube.com/ \n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, session_uid, updated_at FROM apicalls WHERE response_time >= 1158.8049 AND url NOT IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db', 'https://www.youtube.com/') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 top users based on duration total also get rid of all records, except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about users with a total sessions count that is higher than 10 and lower than 4, exclusive 4 additionaly put to use sorting by city naming in ascending , show me only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 4 AND total_sessions >= 10 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: Inform me about response time, HTTPS method from API CALLS, which have values of urls, that are precisely :https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db , refreshed not in Tuesday 07 of November, 2023 09h 00m AM, display only 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, method FROM apicalls WHERE url IN ('https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') AND updated_at != '2023-11-07 09:00:20' LIMIT 6 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show api call id, initiation of API CALLS to me, which methods status_codes values are = 502, 403, 201, 304, 301 , created in 18-08-2021 01h 21m 48s AM, do sorting by ses. id in asc, display only 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, created_at FROM apicalls WHERE status_code IN ('502', '403', '201', '304', '301') AND created_at = '2021-08-18 01:21:48' ORDER BY session_uid ASC LIMIT 6 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about apicall uid, first appearance, session uid, url about API_CALL, which has value of time before returning result, that is lower than 3942.41543 (strictly), whose values were updated not in a date Saturday 05 of January, 2019 09h 57m PM, implement sorting by session uid from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, created_at, session_uid, url FROM apicalls WHERE response_time < 3942.41543 AND updated_at != '2019-01-05 21:57:29' ORDER BY session_uid ASC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about 5 users who are not folks of city Warsaw\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Warsaw') LIMIT 5;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about 6 users who don't currently live in cities Madrid, Lima additionaly do sorting by city title in asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Madrid', 'Lima') ORDER BY city_name ASC LIMIT 6;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about users who aren't inhabitants of city Jakarta beyond that sort by average of total time spent in the app per week in descending order in addition to this show me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Jakarta') ORDER BY mean_week_duration DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about users who have mean duration of sessions per week greater than 33 (not including) , and put to use sorting by av of time using the app per week from the smallest to the largest beyond that display me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 33 ORDER BY mean_week_duration ASC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide insights into users with a count of sessions that is above 2 and below 5, exclusive both nums beyond that remain only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 2 AND total_sessions < 5 LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Find url out of api_calls who meets following properties:, which response time is == 1880.66822, which have value of session unique id, that is == 5cb94d202fc248c183c64af3105fe9ee, b251881a81564671af14bb440b04d732 , with a request method that is same as POST\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls WHERE response_time = 1880.66822 AND session_uid IN ('5cb94d202fc248c183c64af3105fe9ee', 'b251881a81564671af14bb440b04d732') AND method IN ('POST') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about created_at value, response time, api call id out of api_call, which has value of api call url, that is != https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, that has properties sessions ids, which are same as a3e3815d6d93481f93a77432a95fedf3, perform sorting based on date of creation from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, response_time, apicall_uid FROM apicalls WHERE url NOT IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') AND session_uid IN ('a3e3815d6d93481f93a77432a95fedf3') ORDER BY created_at ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about APICALLS, information about which was changed beginning since 2021-10-24 10h 00m 00s PM (don't include 2021-10-24 10h 00m 00s PM), which have value of api call url, that is not [https://dev.wring.dev/details/project-explorer/view-project/449, https://studfile.net/preview/6854369/page:11/, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia], execute sorting based on response time from the largest to the smallest, remain only 9 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at > '2021-10-24 22:00:00' AND url NOT IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://studfile.net/preview/6854369/page:11/', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') ORDER BY response_time DESC LIMIT 9 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about 8 users whose time spent on the site is strictly less than 4899 and greater than 1967 beyond that execute sorting based on overall total duration from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1967 AND total_duration < 4899 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: Could you enlighten me about 5 users with a mean_week_duration of sessions that is higher than 29 and lower than 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 4 AND mean_week_duration >= 29 LIMIT 5;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about apcalls, with a API CALL method that is exactly not GET, exclude all entries except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('GET') 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 time of api calls refreshing, session unique id belonging to APICALLS, which have values of session ids, that are not same as :f5de47c453b2489bb98da9ff937dc16e, abbc765d2e0b47d0b967b9a324b7e359, 3bd0ec13b3bc4687bd99fddcfff3dd31 , whose values were refreshed untill date 2023-04-20 03h 00m 00s AM\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, session_uid FROM apicalls WHERE session_uid NOT IN ('f5de47c453b2489bb98da9ff937dc16e', 'abbc765d2e0b47d0b967b9a324b7e359', '3bd0ec13b3bc4687bd99fddcfff3dd31') AND updated_at <= '2023-04-20 03:00:00' ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display to me user information whose site usage time is less than 3582 and greater than 1950 plus apply sorting according to time in app from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1950 AND total_duration <= 3582 ORDER BY total_duration ASC LIMIT 1;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about apicalls, which were overwritten inclusively after January 05, 2023 12:10 AM, which have values of session uids, that are same as 27e057d7705e4d35a0debedd0ad28f4b, 5bb65756cf3b4964b0751670539165e8, c20275c19e5e4a99a69635bc89d52a1f , perform sorting by ses. id descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at >= '2023-01-05 00:10:46' AND session_uid IN ('27e057d7705e4d35a0debedd0ad28f4b', '5bb65756cf3b4964b0751670539165e8', 'c20275c19e5e4a99a69635bc89d52a1f') ORDER BY session_uid DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'd like to be informed about users whose duration total is strictly greater than 4757 and less than 591 moreover do sorting by mean_week_duration risingly and remain only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 591 AND total_duration > 4757 ORDER BY mean_week_duration ASC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'd like to be informed about 4 users whose all sessions quantity exceeds 2 while staying below 10, exclusively 2\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 2 AND total_sessions <= 10 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm interested in learning about API CALLS, which have apicall unique ids equal to c5d8a1c083b8453eaea0ade47f59b116, which have response time equal to 3500.6325, which have ses. id precisely 4f481db5215948d1a0facb2c56933cb7, fa5388fb215e406680cfce51e326d8b0 , apply sorting by time for response ascending, save only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('c5d8a1c083b8453eaea0ade47f59b116') AND response_time = 3500.6325 AND session_uid IN ('4f481db5215948d1a0facb2c56933cb7', 'fa5388fb215e406680cfce51e326d8b0') ORDER BY response_time ASC LIMIT 2 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about session unique id out of API_CALLS, implement sorting by time before returning result in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid FROM apicalls 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 apcalls to me, which methods status_codes values are same as :302, 403 , changed inclusively before 2023/06/17, 00:00:50, execute sorting by date of API CALL refreshing from the smallest value to the largest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('302', '403') AND updated_at <= '2023-06-17 00:00:50' ORDER BY updated_at ASC ;\n"
}
] |
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