conversations
list
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on users additionaly implement sorting according to av of time using the app per week from the largest to the smallest plus remain only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users 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: Can you give me url, time of apicall alteration, response time about information regarding to api calls, apply sorting by api call unique identifier from the lowest value to the highest value, exclude all entries except 8\n" }, { "from": "gpt", "value": "SQL: SELECT url, updated_at, response_time FROM apicalls ORDER BY apicall_uid 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: Share insights on 6 users who are top-tier based on value of average week duration\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top 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 api_call, created before 2021 08 23 02.19.50 PM (inclusively), which has call urls same as :https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych , perform sorting by first execution date desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE created_at <= '2021-08-23 14:19:50' AND url IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') 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: I'm curious about API CALLS, which have response time larger than 4091.67961, exclusively 4091.67961, which have API CALL methods != POST, which status_code value is equal to 200, 403, 201, 304 , keep only 9 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE response_time > 4091.67961 AND method NOT IN ('POST') AND status_code IN ('200', '403', '201', '304') 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: Offer me knowledge about apcalls, with a status code that is = 403, 204 , sort by api call method from the lowest to the highest, get rid of all entries, except 5\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('403', '204') ORDER BY method ASC LIMIT 5 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about 6 users with a total_duration that is higher than 926, exclusive 926 , moreover apply sorting according to median of duration of sessions per week ascendingly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 926 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: I need to get information about 5 users who have time using the app bigger than 451 and smaller than 4486 moreover apply sorting by app usage time in desc order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 451 AND total_duration <= 4486 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: I have a curiosity about 4 users whose mean_week_duration is greater than 31 and less than 9 (not including)\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration < 9 AND mean_week_duration >= 31 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me an information regarding to 8 users with a quantity of sessions that is higher than 4, inclusive num 4 in addition sort by total sessions count from the largest value to the smallest value\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions >= 4 ORDER BY total_sessions DESC LIMIT 8;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about api call method, api call uid, time of apicall modification belonging to api_call, that was made for the first time strictly before date April, Wednesday 26, 2023 12:00 AM , which apicall unique ids are same as 661e89a9e75042a79444cea2d67dbb1c, apply sorting according to updated at in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT method, apicall_uid, updated_at FROM apicalls WHERE created_at < '2023-04-26 00:00:42' AND apicall_uid IN ('661e89a9e75042a79444cea2d67dbb1c') ORDER BY updated_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please offer data on users with a total duration amount that is higher than 2894 and lower than 1354, exclusively 1354 and 2894 beyond that implement sorting according to all sessions quantity in asc besides that exclude all entries except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration < 1354 AND total_duration > 2894 ORDER BY total_sessions ASC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about users who have sum of duration greater than 931 (not including) and less than 2723 as well as put to use sorting by town name ascendingly and in addition exclude all entries except 3\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 931 AND total_duration <= 2723 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: Display users pieces of information whose overall total duration is strictly bigger than 2829 additionaly apply sorting according to sessions count desc additionaly get rid of all entries, except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 2829 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 want to know about API CALL method which are parts of API CALLS, which have values of api call uids, that are = a846b9b561bf4013988813b1acadd836, d7ddb48bb36645abbe0362d924ede6bb , with a status code that is not same as :500, 201, 403, 401 , apply sorting according to api_calls id from the lowest to the highest\n" }, { "from": "gpt", "value": "SQL: SELECT method FROM apicalls WHERE apicall_uid IN ('a846b9b561bf4013988813b1acadd836', 'd7ddb48bb36645abbe0362d924ede6bb') AND status_code NOT IN ('500', '201', '403', '401') 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: I'm interested in learning about apicall uid of apcall, with a api call unique identifiers that are not same as 1b1a0a286670462bbb29894aa34be97f, c5a177d13b3e4b2e92cd9ad4add26cc5 , that has properties API CALL methods, which are exactly not (POST, DELETE, GET, PUT)\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid FROM apicalls WHERE apicall_uid NOT IN ('1b1a0a286670462bbb29894aa34be97f', 'c5a177d13b3e4b2e92cd9ad4add26cc5') AND method NOT IN ('POST', 'DELETE', 'GET', '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 App prog interface calls, which urls are = [https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate], initiated strictly before date 2020-04-17 12h 00m 46s AM , remain only 10 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate') AND created_at < '2020-04-17 00:00:46' 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: Provide insights into api call method which are parts of api calls, overwritten not at a date 28 of May, year 2021 07:40 AM, which url value is not same as :https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime , apply sorting according to url ascending\n" }, { "from": "gpt", "value": "SQL: SELECT method FROM apicalls WHERE updated_at != '2021-05-28 07:40:29' AND url NOT IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') ORDER BY url ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find apicalls who meets following properties:, with a API CALL code statuses that are not equal to {201, 404}, which have value of url, that is not same as https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate , sort by date of API CALL refreshing ascendingly, keep only 5 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('201', '404') AND url NOT IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate') ORDER BY updated_at ASC LIMIT 5 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please offer data on users whose av of time using the app per week is greater than 21 and strictly less than 34 plus show me only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 21 AND mean_week_duration < 34 LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Share insights on session unique id, REST API method, date of call update, first appearance of apicalls, which session ids values are not {74e4b7e7431d4102b591484a85737ed7, bdb45a7e9b8342c091871ea40bcde65b, efc8f304966c451fae88085a7084db66}, apply sorting by first appearance from the highest value to the lowest value, display only 8 entries\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid, method, updated_at, created_at FROM apicalls WHERE session_uid NOT IN ('74e4b7e7431d4102b591484a85737ed7', 'bdb45a7e9b8342c091871ea40bcde65b', 'efc8f304966c451fae88085a7084db66') ORDER BY created_at 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: Find api calls who meets following properties:, with a urls that are equal to (https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://www.youtube.com/), perform sorting by used method from the largest to the smallest, provide me only with 9 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://www.youtube.com/') ORDER BY method DESC LIMIT 9 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about date when was updation of apicall about API CALLS, whose values were modified exactly not in a date June, Friday 03, 2022 02:55 PM, which have REST API method return codes exactly 500, 403, 200, 304, 502 , apply sorting by used method from the lowest to the highest\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at FROM apicalls WHERE updated_at != '2022-06-03 14:55:49' AND status_code IN ('500', '403', '200', '304', '502') 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: Give me details on 3 users who have the largest value of total_duration , execute sorting based on town name in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top ORDER BY city_name DESC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about url, time of creation, response time belonging to apicalls, which status_codes values are != 304, 404 , which session_uid value is == 5db4325accc8458fa2175d496e3d4d88\n" }, { "from": "gpt", "value": "SQL: SELECT url, created_at, response_time FROM apicalls WHERE status_code NOT IN ('304', '404') AND session_uid IN ('5db4325accc8458fa2175d496e3d4d88') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 session id of apcall, that has properties call urls, which are = https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, with a session_uid that is == {8af5da93019845eea980ec0c6168b5c7, 78a66fbd5c044bc59871f7f0d5f50b22}, perform sorting based on ses. id in ascending\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid FROM apicalls WHERE url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') AND session_uid IN ('8af5da93019845eea980ec0c6168b5c7', '78a66fbd5c044bc59871f7f0d5f50b22') 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 API_CALLS, which have status code not 404, 503, 304, 204 , whose values were modified after Friday 21 of August, 2020 07h 01m AM (exclusively), apply sorting according to API CALL method from the lowest value to the highest value\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('404', '503', '304', '204') AND updated_at > '2020-08-21 07:01:00' ORDER BY method ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm curious about 5 users who are at the peak of user rankings based on overall total duration\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top 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 enlighten me about apcalls, which were updated exactly not in a date 06 of August, year 2019 05:00 PM, which have REST API method return codes same as [200, 201, 404, 304, 500], perform sorting by response time from the smallest to the largest, show me only 9 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at != '2019-08-06 17:00:08' AND status_code IN ('200', '201', '404', '304', '500') ORDER BY response_time ASC LIMIT 9 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about session uid, initiation, updated_at value, api calls id from api_calls, that were made previously than Thursday 03 of June, 2021 12h 38m AM (inclusively), that were refreshed after date 14:58:00, 2019/03/30 \n" }, { "from": "gpt", "value": "SQL: SELECT session_uid, created_at, updated_at, apicall_uid FROM apicalls WHERE created_at <= '2021-06-03 00:38:37' AND updated_at >= '2019-03-30 14:58:00' ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on users who aren't residents of cities Cairo, Edinburgh, Copenhagen and in addition sort by mean_week_duration in asc order and keep only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Cairo', 'Edinburgh', 'Copenhagen') 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: Find APICALLS who meets following properties:\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about users who don't live in cities Panama City, Lima, Kingston, San Jose, Istanbul, Santiago additionaly perform sorting by aver of time using the app per week from the largest value to the smallest value beyond that get rid of all records, except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Panama City', 'Lima', 'Kingston', 'San Jose', 'Istanbul', 'Santiago') 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_CALLS, that have property api call uid, which is not :0ff3175e3bfa4a9c8f856e1a4ef17e4a, 69cb320d9c9e44e3a6aef57d53df1d52 , created till 07 of June, year 2021 12:47 AM, apply sorting according to REST API method return code in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid NOT IN ('0ff3175e3bfa4a9c8f856e1a4ef17e4a', '69cb320d9c9e44e3a6aef57d53df1d52') AND created_at <= '2021-06-07 00:47:27' ORDER BY status_code DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on users who are leading users based on total_duration besides that apply sorting by site usage time from the smallest value to the largest value and in addition display only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top ORDER BY total_duration ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about 8 users whose total duration is smaller than 4217 (not including) and bigger than 227 in addition implement sorting according to mean time in app per week from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 227 AND total_duration < 4217 ORDER BY mean_week_duration ASC LIMIT 8;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find site url, updated_at value, initiation date, session id out of APICALL who meet following properties:, appeared since 2019/04/16, 00:58:12 (don't include 2019/04/16, 00:58:12), that has property api calls id, which is not same as 961be746551847459d3cb711d7e953e3, 0f0e8e059c684bedbe23004d7db71811 , execute sorting based on session uid in desc order\n" }, { "from": "gpt", "value": "SQL: SELECT url, updated_at, created_at, session_uid FROM apicalls WHERE created_at > '2019-04-16 00:58:12' AND apicall_uid NOT IN ('961be746551847459d3cb711d7e953e3', '0f0e8e059c684bedbe23004d7db71811') 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 offer data on users who belong to city Manila besides that apply sorting by mean duration of sessions per week from the smallest value to the largest value and in addition show me only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Manila') 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: Tell me what you know about apicalls, which api call methods values are precisely :GET, PUT, DELETE, POST , which session ids are precisely 60d33e57390941a0981e1b92d122cc12, sort by time for response from the highest to the lowest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('GET', 'PUT', 'DELETE', 'POST') AND session_uid IN ('60d33e57390941a0981e1b92d122cc12') ORDER BY response_time DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into users with a duration summation that is higher than 2129 and lower than 4781, exclusive 2129 and 4781 and in addition perform sorting by town_name from the largest to the smallest furthermore display only 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 2129 AND total_duration < 4781 ORDER BY city_name DESC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm curious about api calls, which have value of methods status_code, that is exactly not 204, that were executed for the first time in a date 2019-08-10 00:00:52\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('204') AND created_at = '2019-08-10 00:00:52' ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 registration date, apicall_uid belonging to App prog interface calls, which api call unique identifiers values are = :c55278ddf84a4bc498eef5bcbc244a48, ab5bad0f20e24fd688e1c67a17551827, 2ada46bc2f894b92a42e369407653f02 , appeared inclusively after November, Tuesday 30, 2021 12:09 AM, implement sorting according to url in desc\n" }, { "from": "gpt", "value": "SQL: SELECT created_at, apicall_uid FROM apicalls WHERE apicall_uid IN ('c55278ddf84a4bc498eef5bcbc244a48', 'ab5bad0f20e24fd688e1c67a17551827', '2ada46bc2f894b92a42e369407653f02') AND created_at >= '2021-11-30 00:09:00' ORDER BY url DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about API CALLS, which were updated till the August, Thursday 11, 2022 12:16 AM (August, Thursday 11, 2022 12:16 AM not including), which have time for response != 4235.50418, put to use sorting by time of apicall modification from the largest value to the smallest value\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at < '2022-08-11 00:16:00' AND response_time != 4235.50418 ORDER BY updated_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about users who have time in app strictly bigger than 1448 and strictly smaller than 2798 in addition to this perform sorting based on mean time in app per week in ascending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 1448 AND total_duration < 2798 ORDER BY mean_week_duration ASC;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about 2 users who have mean of duration of sessions per week greater than 0 and less than 35\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 0 AND mean_week_duration <= 35 LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about api_calls, that have properties urls, which are = https://studfile.net/preview/6854369/page:11/, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://dev.wring.dev/details/project-explorer/view-project/449 , which have apicall unique id not same as fcbdb0b96c074211818f16d8a827a5b1, put to use sorting by api call id ascending, remain only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://studfile.net/preview/6854369/page:11/', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://dev.wring.dev/details/project-explorer/view-project/449') AND apicall_uid NOT IN ('fcbdb0b96c074211818f16d8a827a5b1') 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: Please offer me data on App prog interface calls, put to use sorting by updated_at from the largest value to the smallest value, retain only 7 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY updated_at DESC LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show users to me whose aver time spent on the site per week is smaller than 2 and bigger than 30 beyond that carry out sorting by quantity of sessions risingly + save only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 2 AND mean_week_duration >= 30 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: I want to know about users who have the biggest value of total amount of duration furthermore apply sorting according to city_name from the highest to the lowest plus get rid of all entries, except 3\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top ORDER BY city_name DESC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on users whose time spent on the site is smaller than 343 ( not including) , moreover perform sorting based on overall duration of sessions per week divided by 7 from the highest value to the lowest value furthermore keep only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration < 343 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 apcalls, which have value of apicall_uid, that is not same as 3d6d5590fc514a33b2636e04a5d9369e, ec4bd007f43d47b6962f4b8f0b970963, 1687158833884962a0096a7c007c19fc , with a session_uid that is == f79259293fe04f9e99e459dc739279b0, apply sorting by api_calls id in desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid NOT IN ('3d6d5590fc514a33b2636e04a5d9369e', 'ec4bd007f43d47b6962f4b8f0b970963', '1687158833884962a0096a7c007c19fc') AND session_uid IN ('f79259293fe04f9e99e459dc739279b0') 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: I'm eager to find out about api calls, which have APICALL method equal to (PATCH, POST), do sorting by ses. id desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('PATCH', 'POST') 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: Inform me about 6 users whose overall quantity of sessions is less than 7 and greater than 2 also apply sorting according to town_name desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions >= 2 AND total_sessions <= 7 ORDER BY city_name DESC LIMIT 6;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about apicalls, whose values were modified exactly in 2022 06 20 06.00.51 AM, that have property methods status_code, which is precisely 200, implement sorting by apicall unique id ascendingly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at = '2022-06-20 06:00:51' AND status_code IN ('200') 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: Can you give me an information regarding to users with a total_sessions that is 5 besides that apply sorting according to urban center name in desc order in addition remain only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions == 5 ORDER BY city_name DESC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Return me apicall unique identifier, initiation, REST API method, APICALL status_code out of API CALLS, executed for the first time not in a date 01-04-2022 06:26:04, which api_calls id value is != 6bf7f7d321e44b3e8b7036d087bfa8b4, 4136829e39544d47ac8db6df891918d0, c282ff69c4b64d29b1888aade31e22af , which url value is != :https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann , put to use sorting by date when was updation of apicall in ascending order, remain only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, created_at, method, status_code FROM apicalls WHERE created_at != '2022-04-01 06:26:04' AND apicall_uid NOT IN ('6bf7f7d321e44b3e8b7036d087bfa8b4', '4136829e39544d47ac8db6df891918d0', 'c282ff69c4b64d29b1888aade31e22af') AND url NOT IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann') ORDER BY updated_at ASC LIMIT 3 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about users who are folks of cities Helsinki, Panama City, Warsaw, Cairo, New York City, Amsterdam, Quito, Manila and execute sorting based on name of the town in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Helsinki', 'Panama City', 'Warsaw', 'Cairo', 'New York City', 'Amsterdam', 'Quito', 'Manila') ORDER BY city_name 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: Can you give me HTTP method code, apicall_uid out of information regarding to App prog interface calls, carry out sorting by api calls id from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT status_code, apicall_uid 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: I need to get information about 7 users whose time using the app is greater than 3444 and less than 704 and in addition perform sorting by name of the town in desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration <= 704 AND total_duration >= 3444 ORDER BY city_name DESC LIMIT 7;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm curious about API CALL, which was modified before date 04 of December, year 2023 06:00 PM (exclusively), that has property API CALL method, which is == (PATCH, POST), put to use sorting by API CALL method desc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at < '2023-12-04 18:00:00' AND method IN ('PATCH', 'POST') ORDER BY method 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: Which time before returning result, url, created at, api call uid about api_calls is api_calls, that were made later than 2019-04-17 00:51:00, which api call id is not same as f0b4ae1c524b436a8fee097bd4936656, perform sorting by url decliningly\n" }, { "from": "gpt", "value": "SQL: SELECT response_time, url, created_at, apicall_uid FROM apicalls WHERE created_at >= '2019-04-17 00:51:00' AND apicall_uid NOT IN ('f0b4ae1c524b436a8fee097bd4936656') ORDER BY url DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about site url, updated_at value, api call unique identifier, first appearance of API CALL, that was altered up to Thursday 18 of July, 2019 02h 05m PM, exclusively, initiated till the August 07, 2023 02:37 AM (August 07, 2023 02:37 AM not including)\n" }, { "from": "gpt", "value": "SQL: SELECT url, updated_at, apicall_uid, created_at FROM apicalls WHERE updated_at < '2019-07-18 14:05:00' AND created_at < '2023-08-07 02:37:35' ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about users who aren't folks of cities Cape Town, Mumbai, Bangkok, Vienna as well as keep only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Cape Town', 'Mumbai', 'Bangkok', 'Vienna') LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about api call url, registration date from apicalls, that were created not in a date 2019-10-02 17:35:02, with a api call ids that are = 91d3a48bc39548b5a3f76392351a58c9, provide me only with 6 entries\n" }, { "from": "gpt", "value": "SQL: SELECT url, created_at FROM apicalls WHERE created_at != '2019-10-02 17:35:02' AND apicall_uid IN ('91d3a48bc39548b5a3f76392351a58c9') LIMIT 6 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide me an information about api call, put to use sorting by time of api calls refreshing in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY updated_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me an information regarding to users who aren't currently living in cities Ho Chi Minh City, Toronto, Panama City, San Jose, San Pedro, Lima, Stockholm beyond that sort by total duration from the lowest to the highest and show me only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Ho Chi Minh City', 'Toronto', 'Panama City', 'San Jose', 'San Pedro', 'Lima', 'Stockholm') ORDER BY total_duration ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you enlighten me about apicalls, with a response time that is <= than 2273.93105, that were created for the first time not at 2021 04 20 12.52.00 AM, apply sorting by session id from the largest to the smallest, remain only 7 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE response_time <= 2273.93105 AND created_at != '2021-04-20 00:52:00' ORDER BY session_uid DESC LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Share insights on response time, api call url, time of apicall alteration, methods status_code from api_call, with a HTTP method code that is exactly not 502, 401 , with a apicall_uid that are not equal to d8362fbc07d94120978b42ced8bc8d93\n" }, { "from": "gpt", "value": "SQL: SELECT response_time, url, updated_at, status_code FROM apicalls WHERE status_code NOT IN ('502', '401') AND apicall_uid NOT IN ('d8362fbc07d94120978b42ced8bc8d93') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 session id, time of api_call update from API CALL, that has properties HTTP method codes, which are == 900, implement sorting according to response time in ascending order\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid, updated_at FROM apicalls WHERE status_code IN ('900') ORDER BY response_time ASC LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about users with a total time using the app that is 211 furthermore remain only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration == 211 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about apcall, whose values were changed beginning from 2021 10 25 12.00.17 AM, that was made before date 30 08 2021 00h 00 mins 12 (inclusively), perform sorting based on time of api_call update in asc order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at >= '2021-10-25 00:00:17' AND created_at <= '2021-08-30 00:00:12' ORDER BY updated_at ASC LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about API CALLS, which session_uid is exactly 48df850f64ff47d58d9987d818894982, bee70390c19d49809ccff0826e600e0a , which have response time lower than 4472.47158 (strictly), eliminate all records except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('48df850f64ff47d58d9987d818894982', 'bee70390c19d49809ccff0826e600e0a') AND response_time < 4472.47158 LIMIT 4 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about apicall, which has api call unique identifier same as cdce6d9a4eb64bf1b9732efbf8bf4bab, 9e037263edfb4d2192a258767aaf6edb, a68b36dd36f9439794e286faf83cb435 , which api call urls are not :https://studfile.net/preview/6854369/page:11/, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://www.youtube.com/ \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('cdce6d9a4eb64bf1b9732efbf8bf4bab', '9e037263edfb4d2192a258767aaf6edb', 'a68b36dd36f9439794e286faf83cb435') AND url NOT IN ('https://studfile.net/preview/6854369/page:11/', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://www.youtube.com/') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about 3 users who have sessions summation less than 4 (not including) and greater than 7\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 4 AND total_sessions >= 7 LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm curious about users in addition to this execute sorting by urban center name from the smallest value to the largest value also get rid of all entries, except 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users 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: Tell me about 2 users and execute sorting based on sum of duration from the largest value to the smallest value\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users ORDER BY total_duration DESC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show me time of apicall modification, apicall uid out of APICALLS, which api call unique identifiers are == 119d909e736045b69458ff14cd1181ff, 2fdcf5fd6a294eb2a0ab53e29d3f6736 , which REST API method return code value is not :503, 201 , sort by api call url in desc\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, apicall_uid FROM apicalls WHERE apicall_uid IN ('119d909e736045b69458ff14cd1181ff', '2fdcf5fd6a294eb2a0ab53e29d3f6736') AND status_code NOT IN ('503', '201') 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: Share insights on users who have total_sessions exactly 10 + execute sorting based on overall duration of sessions per week divided by 7 in descending order in addition to this display only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions == 10 ORDER BY mean_week_duration DESC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about method, response time, call url, session id which are parts of App prog interface calls, appeared for the first time till 25-04-2020 02h 46m 42s AM (don't include 25-04-2020 02h 46m 42s AM), that have properties api call ids, which are = c97341fcf0e346c880d0d4787b676659\n" }, { "from": "gpt", "value": "SQL: SELECT method, response_time, url, session_uid FROM apicalls WHERE created_at < '2020-04-25 02:46:42' AND apicall_uid IN ('c97341fcf0e346c880d0d4787b676659') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm curious about users who aren't folks of cities Bridgetown, Reykjavik, Dublin, Istanbul, Copenhagen, Hanoi, Lisbon, Zurich , moreover show me only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Bridgetown', 'Reykjavik', 'Dublin', 'Istanbul', 'Copenhagen', 'Hanoi', 'Lisbon', 'Zurich') LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Share insights on users who aren't residents of cities Cairo, Budapest, New York City and keep only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Cairo', 'Budapest', 'New York City') LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about session id, created_at value, api call method belonging to API CALLS, information about which was changed previously than 00:38:00, 2023/04/18 (inclusively), which url is != https://studfile.net/preview/6854369/page:11/, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw , implement sorting by request method code status from the lowest value to the highest value\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid, created_at, method FROM apicalls WHERE updated_at <= '2023-04-18 00:38:00' AND url NOT IN ('https://studfile.net/preview/6854369/page:11/', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') 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: Which response time, api call url, created at, api call uid of apicalls is apicalls, which have request methods = :PATCH, DELETE, POST, GET , appeared till 2023 12 11 01.31.39 PM (don't include 2023 12 11 01.31.39 PM), put to use sorting by session uid descendingly, remain only 9 records\n" }, { "from": "gpt", "value": "SQL: SELECT response_time, url, created_at, apicall_uid FROM apicalls WHERE method IN ('PATCH', 'DELETE', 'POST', 'GET') AND created_at < '2023-12-11 13:31:39' ORDER BY session_uid DESC LIMIT 9 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Print me created_at from App prog interface call, which has value of session unique id, that is != d5144d1ff8b44196ba3dbca534072119, ba71534d5ea046ac8e726328fa32152d , do sorting by REST API method return code in asc\n" }, { "from": "gpt", "value": "SQL: SELECT created_at FROM apicalls WHERE session_uid NOT IN ('d5144d1ff8b44196ba3dbca534072119', 'ba71534d5ea046ac8e726328fa32152d') ORDER BY status_code ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about users who don't live in cities Bridgetown, San Pedro, Karachi, San Jose, Kuala Lumpur, Johannesburg, Havana, Moscow besides that implement sorting by town naming ascendingly besides that show me only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Bridgetown', 'San Pedro', 'Karachi', 'San Jose', 'Kuala Lumpur', 'Johannesburg', 'Havana', 'Moscow') ORDER BY city_name ASC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show users to me whose total sessions count is bigger than 4 , keep only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions >= 4 LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show users to me whose time in app is smaller than 681 and bigger than 4893 (not including) besides that carry out sorting by total duration amount ascending in addition to this get rid of all entries, except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration <= 681 AND total_duration > 4893 ORDER BY total_duration ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Print me updated_at, REST API method return code, api call method, api call url of APICALL, which apicall_uid are equal to 8977995714f4437181054571b0f40778, which has value of url, that is precisely https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw , put to use sorting by time for response in descending\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, status_code, method, url FROM apicalls WHERE apicall_uid IN ('8977995714f4437181054571b0f40778') AND url IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') ORDER BY response_time DESC LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you enlighten me about 3 users whose mean duration of sessions per week is less than 3 and strictly greater than 31 and perform sorting based on duration summation decliningly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 3 AND mean_week_duration > 31 ORDER BY total_duration DESC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about api call unique identifier, initiation about API_CALL, that has properties call urls, which are exactly not https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, execute sorting based on response time in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, created_at FROM apicalls WHERE url NOT IN ('https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') ORDER BY response_time DESC LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Share insights on users who are residing in cities London, San Jose, Buenos Aires, New York City, Budapest, New Delhi, Bangkok and apply sorting by sessions total decliningly moreover get rid of all entries, except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('London', 'San Jose', 'Buenos Aires', 'New York City', 'Budapest', 'New Delhi', 'Bangkok') 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: Which App prog interface calls is App prog interface calls, which status codes are not equal to 400, 302, 500, 304 \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('400', '302', '500', '304') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about users whose sessions summation is strictly bigger than 10 and strictly smaller than 4 and in addition show me only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 4 AND total_sessions > 10 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about call url, apicall unique id out of App prog interface calls, with a response time that is bigger than 1088.79906 (including), that have properties API CALL code statuses, which are != (204, 403, 401, 503, 302), sort by url desc, get rid of all entries, except 2\n" }, { "from": "gpt", "value": "SQL: SELECT url, apicall_uid FROM apicalls WHERE response_time >= 1088.79906 AND status_code NOT IN ('204', '403', '401', '503', '302') ORDER BY url DESC LIMIT 2 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about API CALL method, response time, created at, date of API CALL refreshing which are parts of API CALL, that was made for the first time at a date February, Thursday 25, 2021 03:33 PM\n" }, { "from": "gpt", "value": "SQL: SELECT method, response_time, created_at, updated_at FROM apicalls WHERE created_at = '2021-02-25 15:33:14' LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show me response time which are parts of apicalls, which API CALL methods values are same as GET, POST, DELETE , which have value of session id, that is != [31a6ab538490421c9cb42edc670d3d5d, 4f4187baa6f54972a3734c25d80aac81, 309fe6c6bea641caa9f25821cfb067b9], put to use sorting by updated at in desc order\n" }, { "from": "gpt", "value": "SQL: SELECT response_time FROM apicalls WHERE method IN ('GET', 'POST', 'DELETE') AND session_uid NOT IN ('31a6ab538490421c9cb42edc670d3d5d', '4f4187baa6f54972a3734c25d80aac81', '309fe6c6bea641caa9f25821cfb067b9') ORDER BY updated_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about 6 users who have sessions summation strictly smaller than 5 and bigger than 8 furthermore execute sorting based on city title in ascending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 5 AND total_sessions >= 8 ORDER BY city_name ASC LIMIT 6;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on url, session_uid, time for response about API_CALLS, that have property response time, which is = 1304.42153, modified not in a date 24-02-2022 11h 13m 00s PM, apply sorting according to response time desc\n" }, { "from": "gpt", "value": "SQL: SELECT url, session_uid, response_time FROM apicalls WHERE response_time = 1304.42153 AND updated_at != '2022-02-24 23:13:00' ORDER BY response_time DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about users who are residing in cities Zurich, Guatemala City, Jakarta, Kingston, Berlin in addition remain only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Zurich', 'Guatemala City', 'Jakarta', 'Kingston', 'Berlin') LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide me an information about 3 users who aren't inhabitants of city Istanbul besides that do sorting by city_name decliningly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Istanbul') ORDER BY city_name DESC LIMIT 3;\n" } ]