Datasets:

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Kris8an

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SQL_max

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[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm interested in learning about users who are users with lowest duration of sessions per week divided by quant of days in a week , moreover implement sorting according to total duration amount in ascending beyond that exclude all entries except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration ASC LIMIT 5) AS bot ORDER BY total_duration ASC LIMIT 2;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on apicall updation date, api call unique identifier, session id, API CALL code status out of App prog interface call, perform sorting based on api calls id in descending\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, apicall_uid, session_uid, status_code FROM apicalls ORDER BY apicall_uid 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: Inform me regarding to APICALLS, which session_uid values are not :5b5e088006324699a6f777fa5dc27a38, 014ecba1c0a94b94a05110e9942fa463 , which have values of api call urls, that are == https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://studfile.net/preview/6854369/page:11/, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych , carry out sorting by REST API method ascendingly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('5b5e088006324699a6f777fa5dc27a38', '014ecba1c0a94b94a05110e9942fa463') AND url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://studfile.net/preview/6854369/page:11/', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') 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: Display 7 users pieces of information who don't currently live in city Amsterdam\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Amsterdam') LIMIT 7;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about users who are at the peak of user rankings based on site usage time beyond that do sorting by sum of duration from the smallest value to the largest value , display me only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top ORDER BY total_duration ASC LIMIT 3;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into App prog interface call, which has value of url, that is exactly not (https://studfile.net/preview/6854369/page:11/, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449), which has values of REST API methods, that are not same as PUT\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://studfile.net/preview/6854369/page:11/', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') AND method NOT IN ('PUT') ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Share insights on users with a count of sessions of sessions that is higher than 9 and lower than 2 , apply sorting by city name in asc order additionaly exclude all entries except 3\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions <= 2 AND total_sessions >= 9 ORDER BY city_name ASC LIMIT 3;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find call url, date of creation of APICALLS who meets following properties:, with a api_calls ids that are not equal to (d1ada57c7ff04868ba122bae7d72ae9c, 0300dc0b170645c7b7053ca91cff7089), with a methods status_codes that are exactly 403, 400, 900, 304, 302 , carry out sorting by session uid in descending, remain only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT url, created_at FROM apicalls WHERE apicall_uid NOT IN ('d1ada57c7ff04868ba122bae7d72ae9c', '0300dc0b170645c7b7053ca91cff7089') AND status_code IN ('403', '400', '900', '304', '302') ORDER BY session_uid DESC LIMIT 2 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Share insights on created_at, time for response, call url, api call unique identifier belonging to APICALLS, whose values were updated exactly at December, Wednesday 13, 2023 01:00 PM, that were made till the February 07, 2021 12:46 AM (February 07, 2021 12:46 AM not including), implement sorting according to updated_at value from the highest value to the lowest value\n" }, { "from": "gpt", "value": "SQL: SELECT created_at, response_time, url, apicall_uid FROM apicalls WHERE updated_at = '2023-12-13 13:00:00' AND created_at < '2021-02-07 00:46:00' ORDER BY updated_at DESC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me regarding to api_calls, which method value is = GET, PUT, PATCH , which API CALL code statuses are exactly :401, 500, 900, 200 , exclude all entries except 6\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('GET', 'PUT', 'PATCH') AND status_code IN ('401', '500', '900', '200') 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 about App prog interface calls, display only 10 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls LIMIT 10 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you tell me about 2 users whose sum of duration is smaller than 4659 (not including) and bigger than 1192 (not including) plus do sorting by aver time spent on the site per week from the lowest value to the highest value\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 1192 AND total_duration < 4659 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 need to get information about users who are residents of cities Panama City, Edinburgh, Cairo, Dublin, Istanbul also execute sorting based on app usage time decliningly additionaly remain only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Panama City', 'Edinburgh', 'Cairo', 'Dublin', 'Istanbul') 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: Offer me knowledge about users besides implement sorting by average of total time spent in the app per week asc and save only 4 records\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: I'm eager to find out about api calls, which time for response is higher than 2306.43501, exclusively, perform sorting by HTTPS method descendingly, show me only 8 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE response_time > 2306.43501 ORDER BY method DESC LIMIT 8 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me regarding to 5 users who have sum of duration bigger than 507 beyond that execute sorting by time in app in descending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 507 ORDER BY total_duration DESC LIMIT 5;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you tell me about 2 users and carry out sorting by mean site usage time per week in ascending order\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 need to get information about 6 users who are top users based on mean of duration of sessions per week , and implement sorting by sessions summation in asc order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top ORDER BY total_sessions ASC LIMIT 6;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about 8 users , moreover carry out sorting by app usage time in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users 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: Provide me an information about 8 users who have mean time in app per week greater than 24 and less than 32 (not including)\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 24 AND mean_week_duration < 32 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: Inform me about users whose total duration amount exceeds 1668 moreover get rid of all entries, except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 1668 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: Can you give me an information regarding to 6 users whose number of sessions is strictly bigger than 7 and strictly smaller than 2 in addition to this execute sorting by aver of time using the app per week asc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 2 AND total_sessions > 7 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: Which APICALLS is APICALLS, sort by response time from the highest to the lowest, get rid of all entries, except 7\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY response_time DESC LIMIT 7 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Return me APICALL method, time before returning result, apicall unique identifier of apicall, which method value is precisely GET, PATCH , that was modified in a date May 20, 2021 03:12 AM, which has response time <= than 2592.41033, perform sorting by status_code in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT method, response_time, apicall_uid FROM apicalls WHERE method IN ('GET', 'PATCH') AND updated_at = '2021-05-20 03:12:22' AND response_time <= 2592.41033 ORDER BY status_code DESC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Display users pieces of information whose overall sessions count is strictly greater than 7 and less than 2 also do sorting by count of sessions in ascending in addition eliminate all records except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions <= 2 AND total_sessions > 7 ORDER BY total_sessions ASC LIMIT 2;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Display to me user information whose sessions count less than 3 and greater than 10\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions <= 3 AND total_sessions >= 10 LIMIT 1;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on session uid, api calls id about api_calls, which session id value is not equal to :ba2fd94b435e48bfad59550839e866d8, dd9659dba0cd47349411fbd2c6662ec3 , which apicall_uid value is exactly not 5554db20dc3e426680f03530cf6ff9f2, 762585774ea4425583e7d2d58f4dcd2b , perform sorting based on session id in ascending\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid, apicall_uid FROM apicalls WHERE session_uid NOT IN ('ba2fd94b435e48bfad59550839e866d8', 'dd9659dba0cd47349411fbd2c6662ec3') AND apicall_uid NOT IN ('5554db20dc3e426680f03530cf6ff9f2', '762585774ea4425583e7d2d58f4dcd2b') ORDER BY session_uid ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about apcalls, which apicall unique identifiers values are != d527be228f224aa3b3cdb6cb16b39e82, which urls values are not same as https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://www.youtube.com/, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid NOT IN ('d527be228f224aa3b3cdb6cb16b39e82') AND url NOT IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://www.youtube.com/', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann') ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show users to me who time using the app less than 658 and greater than 2594 (not including) furthermore carry out sorting by total_duration in descending beyond that display me only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration <= 658 AND total_duration > 2594 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: Share insights on 4 users who are top users based on app usage time additionaly implement sorting according to count of sessions in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top ORDER BY total_sessions DESC LIMIT 4;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about 8 users whose overall sessions count is equal to 7\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions == 7 LIMIT 8;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm interested in learning about users whose mean site usage time per week is strictly greater than 21 and strictly less than 45 and sort by av of time using the app per week in descending order beyond that provide me only with 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration > 21 AND mean_week_duration < 45 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: Could you tell me about apcalls, that have property url, which is != https://www.youtube.com/, keep only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://www.youtube.com/') LIMIT 2 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about time for response, session id, created at, request method code status from API CALLS, which have response time smaller than 1488.26012 or equal to 1488.26012, that have property APICALL method, which is not same as PATCH, POST, PUT, DELETE , do sorting by first appearance date from the smallest to the largest, remain only 8 records\n" }, { "from": "gpt", "value": "SQL: SELECT response_time, session_uid, created_at, status_code FROM apicalls WHERE response_time <= 1488.26012 AND method NOT IN ('PATCH', 'POST', 'PUT', 'DELETE') 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: Provide insights into method, date of API CALL update belonging to apcalls, that have properties apicall unique ids, which are exactly a78ba215010b40d39e55b8358c0ba99a, e6c7dde210274a4aa85690b3ae123807 , with a session uid that is precisely ee93bd74717c4e5998012f28d3131374, sort by api call method ascending, remain only 10 entries\n" }, { "from": "gpt", "value": "SQL: SELECT method, updated_at FROM apicalls WHERE apicall_uid IN ('a78ba215010b40d39e55b8358c0ba99a', 'e6c7dde210274a4aa85690b3ae123807') AND session_uid IN ('ee93bd74717c4e5998012f28d3131374') ORDER BY method ASC LIMIT 10 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me request method, site url about information regarding to API CALLS, with a time for response that is higher than 3093.87548 (strictly), execute sorting by url in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT method, url FROM apicalls WHERE response_time > 3093.87548 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: Show me method, response time, date of API CALL update out of API_CALLS, appeared at 2023/11/18, 08:38:00, carry out sorting by time of apicall modification in ascending order\n" }, { "from": "gpt", "value": "SQL: SELECT method, response_time, updated_at FROM apicalls WHERE created_at = '2023-11-18 08:38:00' ORDER BY updated_at ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on users who have the least value of number of sessions beyond that execute sorting by sessions count ascending and provide me only with 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions ASC LIMIT 5) AS bot ORDER BY total_sessions ASC LIMIT 3;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Display 8 users pieces of information who are currently living in cities Hanoi, Budapest, Guatemala City, Caracas, Manila, Quito, Prague also execute sorting by sum of duration desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Hanoi', 'Budapest', 'Guatemala City', 'Caracas', 'Manila', 'Quito', 'Prague') 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: Share insights on 7 users who aren't folks of cities Mexico City, Bridgetown, London, Hanoi, New Delhi, Manila, Quito besides execute sorting by total duration from the lowest to the highest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Mexico City', 'Bridgetown', 'London', 'Hanoi', 'New Delhi', 'Manila', 'Quito') ORDER BY total_duration ASC LIMIT 7;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Return me api call, appeared beginning from 14:30:06, 2022/02/12, that has properties session unique ids, which are exactly 6a1bf992f1094ce0821f21ee51408f4a, 2b7db01978bc470f864894d0e0548304 \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE created_at >= '2022-02-12 14:30:06' AND session_uid IN ('6a1bf992f1094ce0821f21ee51408f4a', '2b7db01978bc470f864894d0e0548304') ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 apicalls, put to use sorting by url in descending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls 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: Please offer me call url, apicall unique identifier, first appearance date, api call method of data on API_CALLS, which have apicall uid not :d2ff3dfecddc4a11b36a3a15372da957, 264bf60886414feca81e7b61e0f2d5ec , which have REST API methods exactly POST, apply sorting according to updated at in asc\n" }, { "from": "gpt", "value": "SQL: SELECT url, apicall_uid, created_at, method FROM apicalls WHERE apicall_uid NOT IN ('d2ff3dfecddc4a11b36a3a15372da957', '264bf60886414feca81e7b61e0f2d5ec') AND method IN ('POST') ORDER BY updated_at ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on users who have all sessions quantity less than 9 inclusive + implement sorting by average of total time spent in the app per week decliningly also remain only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions <= 9 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 api_calls, which apicall unique identifier value is == (44c2a7c4a6454bb190824beadb6ccba4, 0b24dc9137e74cb9844d0765010db37b, 9b511b2c36774ea598c161d8cb3a9951), with a APICALL status_code that is != :404, 401 , display me only 9 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('44c2a7c4a6454bb190824beadb6ccba4', '0b24dc9137e74cb9844d0765010db37b', '9b511b2c36774ea598c161d8cb3a9951') AND status_code NOT IN ('404', '401') 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: Could you tell me about status code belonging to App prog interface call, with a API CALL code statuses that are equal to {502, 403}, that has property time for response, which is lesser than 4147.40225, inclusively 4147.40225\n" }, { "from": "gpt", "value": "SQL: SELECT status_code FROM apicalls WHERE status_code IN ('502', '403') AND response_time <= 4147.40225 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into users who have total sessions count smaller than 10 and strictly bigger than 3 and keep only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions > 3 AND total_sessions <= 10 LIMIT 3;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about users who have average of total time spent in the app per week less than 19 (not including) and greater than 50 plus display me only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration < 19 AND mean_week_duration >= 50 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 api calls, which site url is equal to :https://www.youtube.com/, https://studfile.net/preview/6854369/page:11/ , with a HTTP methods that are == DELETE, execute sorting by used method from the lowest to the highest, remain only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://www.youtube.com/', 'https://studfile.net/preview/6854369/page:11/') AND method IN ('DELETE') ORDER BY method 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 time of api_call update, api call method, call url, response time which are parts of api_calls to me, with a API CALL methods that are == PATCH, that have properties api call urls, which are = :https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann , perform sorting by api call uid ascendingly, show me only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, method, url, response_time FROM apicalls WHERE method IN ('PATCH') AND url IN ('https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann') ORDER BY apicall_uid 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 users with a time spent on the site that is above 909 and below 3037, exclusive 3037 inclusive 909 additionaly keep only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 909 AND total_duration < 3037 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 apicall unique id which are parts of apcall, with a time before returning result that is exactly 3597.50636, with a api call uids that are same as c935c51cb9904b839883014c20aeae6d, aef8bd6e8a2c4c38b1253d8196ad4e51, b79b9ffd9d7841f0a121000a0b25274a , perform sorting based on methods status_code risingly\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid FROM apicalls WHERE response_time = 3597.50636 AND apicall_uid IN ('c935c51cb9904b839883014c20aeae6d', 'aef8bd6e8a2c4c38b1253d8196ad4e51', 'b79b9ffd9d7841f0a121000a0b25274a') 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: Return me apcalls, apply sorting according to api calls id in ascending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY apicall_uid ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about a user who has the least value of duration summation in addition do sorting by mean site usage time per week from the largest value to the smallest value\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 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, initiated exclusively before date 2020-02-28 11h 12m 06s PM \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE created_at < '2020-02-28 23:12:06' ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you tell me about API CALL, that was created not at a date 2019 05 23 07.01.10 PM, which has values of urls, that are == https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE created_at != '2019-05-23 19:01:10' AND url IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') LIMIT 1 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you tell me about 8 users whose all sessions quantity is 8 moreover do sorting by duration of sessions per week divided by quant of days in a week decliningly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions == 8 ORDER BY mean_week_duration DESC LIMIT 8;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me an information regarding to users who have the smallest value of total duration also carry out sorting by mean duration of sessions per week in desc moreover retain only 2 entries\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 2;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you tell me about api call uid, ses. id, response time, status code which are parts of apicall, which has API CALL code statuses exactly not [301, 502, 500, 403], that has properties urls, which are equal to (https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db), do sorting by time of apicall alteration desc\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, session_uid, response_time, status_code FROM apicalls WHERE status_code NOT IN ('301', '502', '500', '403') AND url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') ORDER BY updated_at DESC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into status_code, api call unique identifier of apicalls, with a REST API method that is not [PATCH, PUT, POST, DELETE], changed before date 2021-06-12 23:00:09 (exclusively)\n" }, { "from": "gpt", "value": "SQL: SELECT status_code, apicall_uid FROM apicalls WHERE method NOT IN ('PATCH', 'PUT', 'POST', 'DELETE') AND updated_at < '2021-06-12 23:00:09' ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 updated_at value, response time, session_uid, created_at value about apicalls, sort by method asc, get rid of all records, except 3\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, response_time, session_uid, created_at FROM apicalls ORDER BY method 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: Offer me knowledge about users who have mean duration of sessions per week smaller than 13 and bigger than 47 (not including) as well as apply sorting by mean week duration decliningly besides that get rid of all entries, except 3\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 13 AND mean_week_duration > 47 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'm interested in learning about request method code status out of apicalls, that were created not in 2021-11-09 02:00:00, which HTTPS method status code is == :301, 502, 500 , perform sorting by created_at from the highest to the lowest\n" }, { "from": "gpt", "value": "SQL: SELECT status_code FROM apicalls WHERE created_at != '2021-11-09 02:00:00' AND status_code IN ('301', '502', '500') ORDER BY created_at DESC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show 4 users to me who have overall duration of sessions per week divided by 7 greater than 23 and less than 25 (both not including)\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration > 23 AND mean_week_duration < 25 LIMIT 4;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about apicalls, with a api call methods that are equal to GET, POST, PATCH , which response time is lower than 1497.01982 (not including), perform sorting by call url from the highest value to the lowest value, display me only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('GET', 'POST', 'PATCH') AND response_time < 1497.01982 ORDER BY url 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 session uid belonging to api_calls, that have properties APICALL methods, which are not equal to [POST, DELETE, GET, PATCH], that have property site url, which is same as https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://studfile.net/preview/6854369/page:11/ , perform sorting based on date of creation from the highest value to the lowest value, save only 5 records\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid FROM apicalls WHERE method NOT IN ('POST', 'DELETE', 'GET', 'PATCH') AND url IN ('https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://studfile.net/preview/6854369/page:11/') ORDER BY created_at DESC LIMIT 5 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about API CALLS, which session_uid values are precisely 02f6d1b4e8954d0da25bb0cc6075e1d3, 6766c7864a9a4efdb3c975ace30fea91, d9ec38ee5e974975a1ff3ea70fbc2a2d , that have property response time, which is lesser than 4138.47028 (strictly), display only 6 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('02f6d1b4e8954d0da25bb0cc6075e1d3', '6766c7864a9a4efdb3c975ace30fea91', 'd9ec38ee5e974975a1ff3ea70fbc2a2d') AND response_time < 4138.47028 LIMIT 6 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about 2 users who have av of time using the app per week greater than 24 and less than 47 (not including)\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 24 AND mean_week_duration < 47 LIMIT 2;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find apicalls who meets following properties:, that have properties urls, which are exactly not https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia , which session_uid are != d7269f967fba4cd38e8f5dc001ab13d5, sort by session unique id from the highest to the lowest, show me only 5 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') AND session_uid NOT IN ('d7269f967fba4cd38e8f5dc001ab13d5') ORDER BY session_uid DESC LIMIT 5 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm interested in learning about users whose time using the app is less than 4172 and greater than 1642 moreover perform sorting by mean week duration ascendingly and in addition show me only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 1642 AND total_duration <= 4172 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 curious about 3 users whose total sessions count is strictly smaller than 3 and strictly bigger than 9 (both not including) also execute sorting by overall duration of sessions per week divided by 7 desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 3 AND total_sessions > 9 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: Could you tell me about 2 users whose overall sessions count is greater than 9 (strictly) + implement sorting according to site usage time in asc order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions > 9 ORDER BY total_duration ASC LIMIT 2;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you enlighten me about APICALL, execute sorting based on first appearance date risingly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY created_at ASC LIMIT 1 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on API CALLS, executed for the first time exclusively before August, Friday 09, 2019 01:58 PM, which have value of api call id, that is not :0a09ee70d36b428faccbafa066f8a59f, f6a95fdaf3e8451dab8d19384fe1d601 , sort by api call url in ascending, exclude all entries except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE created_at < '2019-08-09 13:58:03' AND apicall_uid NOT IN ('0a09ee70d36b428faccbafa066f8a59f', 'f6a95fdaf3e8451dab8d19384fe1d601') ORDER BY url 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: Return me api_calls, which HTTP method codes values are precisely 204, 302, 502, 503, 200 , which api call method value is equal to :PATCH, DELETE, GET , execute sorting based on api call url from the smallest to the largest, show me only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('204', '302', '502', '503', '200') AND method IN ('PATCH', 'DELETE', 'GET') ORDER BY url ASC LIMIT 3 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about api call uid, response time from apicalls, which session uid value is not 463b4c5b263d4e1a964e4d02e0867189, that have properties API CALL methods, which are = GET, PUT , apply sorting according to date when was updation of apicall from the lowest to the highest, get rid of all records, except 2\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, response_time FROM apicalls WHERE session_uid NOT IN ('463b4c5b263d4e1a964e4d02e0867189') AND method IN ('GET', 'PUT') ORDER BY updated_at 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: Give me details on API CALLS, information about which was refreshed before date 2022-09-27 02h 56m 20s AM , which request method code status value is exactly not (200, 302), perform sorting by initiation desc, show me only 6 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at <= '2022-09-27 02:56:20' AND status_code NOT IN ('200', '302') ORDER BY created_at DESC LIMIT 6 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about API_CALLS, which HTTPS method value is exactly not GET, which request method code status value is exactly :304, 200, 403, 301, 404 , do sorting by ses. id from the lowest to the highest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('GET') AND status_code IN ('304', '200', '403', '301', '404') ORDER BY session_uid ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about users + apply sorting according to sessions total from the largest value to the smallest value , moreover show me only 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users ORDER BY total_sessions DESC LIMIT 2;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about users who don't currently live in city Istanbul also carry out sorting by time in app descendingly , moreover show me only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Istanbul') 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: Give me details on 3 users with a quantity of sessions that is above 4 and below 6, exclusive both nums , execute sorting based on average of total time spent in the app per week from the highest to the lowest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions > 4 AND total_sessions < 6 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'd like to be informed about users whose total amount of duration is bigger than 2698 and smaller than 1144 (not including) plus execute sorting by all sessions quantity risingly additionaly remain only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration < 1144 AND total_duration >= 2698 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: Tell me about 2 users who have median of duration of sessions per week strictly bigger than 46 in addition to this perform sorting based on total duration amount descending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration > 46 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: Offer me knowledge about response time, created at, apicall unique identifier of api call, which has values of site urls, that are precisely (https://studfile.net/preview/6854369/page:11/, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime), with a session_uid that are exactly not a1747935ae884a15ae509ac465533090, a1756a8326e44c0bac1612d469bd941c, 132bc642a33744fa9ccff5bcfb58736d , sort by session unique id in ascending\n" }, { "from": "gpt", "value": "SQL: SELECT response_time, created_at, apicall_uid FROM apicalls WHERE url IN ('https://studfile.net/preview/6854369/page:11/', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') AND session_uid NOT IN ('a1747935ae884a15ae509ac465533090', 'a1756a8326e44c0bac1612d469bd941c', '132bc642a33744fa9ccff5bcfb58736d') ORDER BY session_uid ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on users in addition to this perform sorting based on time spent on the site from the lowest to the highest as well as save only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users ORDER BY total_duration ASC LIMIT 3;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about 2 users who are topleast users based on site usage time beyond that perform sorting by city_name in ascending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot ORDER BY city_name ASC LIMIT 2;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about 8 users whose duration total is bigger than 1917 (not including) and smaller than 2737 and in addition implement sorting by site usage time risingly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 1917 AND total_duration <= 2737 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 tell me about HTTPS method status code, api call url which are parts of API CALL, which time for response value is not same as 1181.96943, which was altered later than 01 01 2020 05.54.33 PM (exclusively), apply sorting by upd. of apicalls date from the lowest to the highest\n" }, { "from": "gpt", "value": "SQL: SELECT status_code, url FROM apicalls WHERE response_time != 1181.96943 AND updated_at > '2020-01-01 17:54:33' ORDER BY updated_at ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about HTTP method code, session_uid, url, apicall_uid which are parts of apicalls, which site url value is exactly https://www.youtube.com/, with a API CALL method that is same as PUT, DELETE , implement sorting according to api calls id desc\n" }, { "from": "gpt", "value": "SQL: SELECT status_code, session_uid, url, apicall_uid FROM apicalls WHERE url IN ('https://www.youtube.com/') AND method IN ('PUT', 'DELETE') 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: Tell me about 7 users whose duration total is smaller than 2120\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration <= 2120 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 created_at value, apicall updation date, session unique id out of apicalls, which have urls same as https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime , with a APICALL status_code's that are not equal to 900, 304, 301, 503 , carry out sorting by time of creation in desc order, retain only 5 entries\n" }, { "from": "gpt", "value": "SQL: SELECT created_at, updated_at, session_uid FROM apicalls WHERE url IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') AND status_code NOT IN ('900', '304', '301', '503') ORDER BY created_at DESC LIMIT 5 ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about date of call update of API_CALL, which HTTP method value is != :POST, PATCH, DELETE , do sorting by session_uid ascendingly\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at FROM apicalls WHERE method NOT IN ('POST', 'PATCH', 'DELETE') 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: Show me users who have app usage time less than 454 inclusive plus remain only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration <= 454 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 created_at belonging to API CALLS, which HTTP method code value is exactly not {401, 404, 400, 302}, that were made since 2022/01/05, 22:00:14 (don't include 2022/01/05, 22:00:14)\n" }, { "from": "gpt", "value": "SQL: SELECT created_at FROM apicalls WHERE status_code NOT IN ('401', '404', '400', '302') AND created_at > '2022-01-05 22:00:14' ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 unique identifier, HTTP method code, session id which are parts of APICALLS, which have request method code status same as {403, 200, 401, 404}, modified since 28 12 2019 17h 27 mins 28, implement sorting by session unique id from the largest to the smallest\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, status_code, session_uid FROM apicalls WHERE status_code IN ('403', '200', '401', '404') AND updated_at >= '2019-12-28 17:27:28' 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: Please provide insights on API_CALLS, information about which was updated not at a date 13 of November, year 2019 12:00 AM, with a time before returning result that is greater than 3827.84176, exclusively 3827.84176, implement sorting by api call unique identifier ascending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at != '2019-11-13 00:00:31' AND response_time > 3827.84176 ORDER BY apicall_uid ASC ;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please offer data on users who have sessions count greater than 2 and less than 5 (both not including) furthermore sort by mean duration of sessions per week from the lowest to the highest plus keep only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions > 2 AND total_sessions < 5 ORDER BY mean_week_duration ASC LIMIT 3;\n" } ]

[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into site url, session id of APICALLS, which have values of session uids, that are exactly d9182bdec38d4df5b428c151e26e4ce9, 552d9929dfa74313a429ee640890f47d, 59ae8934a4ce48989091b04891564814 , which have api call methods equal to GET, DELETE , do sorting by status_code in ascending\n" }, { "from": "gpt", "value": "SQL: SELECT url, session_uid FROM apicalls WHERE session_uid IN ('d9182bdec38d4df5b428c151e26e4ce9', '552d9929dfa74313a429ee640890f47d', '59ae8934a4ce48989091b04891564814') AND method IN ('GET', '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: Inform me about App prog interface call, that has properties HTTP methods, which are precisely [POST, PUT], which has values of site urls, that are not (https://studfile.net/preview/6854369/page:11/, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych), implement sorting according to methods status_code from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('POST', 'PUT') AND url NOT IN ('https://studfile.net/preview/6854369/page:11/', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') 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: Could you tell me about API CALLS, with a session uid that is != 6c93c4e29a864d83937b7a1043edc26c, b4218584382b426587d894761a7f7b6f , altered exactly not in a date Sunday 15 of December, 2019 04h 53m PM, execute sorting by first appearance from the highest to the lowest, display me only 10 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('6c93c4e29a864d83937b7a1043edc26c', 'b4218584382b426587d894761a7f7b6f') AND updated_at != '2019-12-15 16:53:15' ORDER BY created_at DESC LIMIT 10 ;\n" } ]