250 Commits

Author SHA1 Message Date
Klemek 4387f6da45 improv: colorblind colors 2021-07-14 00:06:00 +02:00
Klemek ef17c599cd Merge branch 'master' into dev 2021-07-13 18:46:51 +02:00
Klemek a6b963557c improv: black 2021-07-13 18:46:22 +02:00
Klemek 19d09ee6bc improv: better graph 2021-07-13 18:45:50 +02:00
Klemek 1a7c041f67 fix: new channel not loading 2021-07-13 18:35:15 +02:00
Klemek 444c65f343 Merge pull request #55 from Klemek/dev
v1.16
2021-07-13 18:14:52 +02:00
Klemek 20e4c05cc5 improv: black 2021-07-13 18:07:44 +02:00
Klemek 8f4f09bb86 v1.16 2021-07-13 18:06:33 +02:00
Klemek 8b0fe859a7 feat: (BETA) %freq graph 2021-07-13 18:04:46 +02:00
Klemek 07aed12463 feat: use discord new time format 2021-07-13 17:05:16 +02:00
Klemek 499ada0b26 feat: quietest hour of day/week 2021-07-13 16:51:52 +02:00
Klemek c3d3b7ac2e improv: changed the way frequency was stored 2021-07-13 16:47:01 +02:00
Klemek fa840725dd improv: first tests 2021-07-13 16:43:50 +02:00
Klemek e1e1bf117f improv: black 2021-07-13 16:26:04 +02:00
Klemek 14f5709241 fix: frequency scanner using invalid parameter 2021-07-13 15:34:46 +02:00
Klemek dbd859a828 Update Dockerfile 2021-06-09 15:40:33 +02:00
Klemek a3eb623205 Update Dockerfile 2021-06-09 15:38:20 +02:00
Klemek acbcce304e Create docker.yml 2021-06-09 15:32:23 +02:00
Klemek ea82877fd2 Merge branch 'dev' of github.com:klemek/discord-analyst into dev 2021-06-04 15:47:51 +02:00
Klemek 9136cf4ad2 small fix 2021-06-04 15:47:48 +02:00
Klemek ead5f66608 Merge pull request #51 from Klemek/dev
1.15.3 small improvement
2021-06-04 15:38:42 +02:00
Klemek 5b91ca63a9 Merge branch 'master' into dev 2021-06-04 15:37:40 +02:00
Klemek f7116787fc Merge branch 'dev' of github.com:klemek/discord-analyst into dev 2021-06-04 15:36:27 +02:00
Klemek 8ef1b50e3c "valid-arg" skip arg processing 2021-06-04 15:36:24 +02:00
Klemek eb82fcf2aa Merge pull request #49 from Klemek/dev
Dev
2021-06-01 12:10:16 +02:00
Klemek c86af98406 Merge branch 'master' into dev 2021-06-01 12:09:26 +02:00
Klemek 634285f4fc Merge branch 'dev' of github.com:klemek/discord-analyst into dev 2021-06-01 12:08:36 +02:00
Klemek 887f612486 cleaning => set 2021-06-01 12:08:33 +02:00
Klemek be552b6cf3 Merge pull request #48 from Klemek/dev
fix duplicate messages bug
2021-06-01 11:31:45 +02:00
Klemek e808f1f957 Merge branch 'master' into dev 2021-06-01 11:31:04 +02:00
Klemek 975ee7430d fix duplicate messages bug 2021-06-01 11:30:40 +02:00
Klemek ebdc33029c Merge pull request #47 from Klemek/dev
1.15.1 bug fix on images
2021-06-01 09:53:10 +02:00
Klemek 99cd2b301b 1.15.1 bug fix on images 2021-06-01 09:52:14 +02:00
Klemek b838fc7408 Merge pull request #46 from Klemek/dev
bug fix
2021-05-19 15:34:48 +02:00
Klemek b1eddf0b4b bug fix 2021-05-19 15:34:24 +02:00
Klemek 4b42f13d28 Merge pull request #45 from Klemek/dev
updated dockerfile
2021-05-19 15:27:51 +02:00
Klemek 84734c7d4e updated dockerfile 2021-05-19 15:27:17 +02:00
Klemek f2a9cf410e Merge pull request #44 from Klemek/dev
v1.15
2021-05-19 15:19:52 +02:00
Klemek 5b448fe237 Merge branch 'dev' of github.com:klemek/discord-analyst into dev 2021-05-19 15:16:48 +02:00
Klemek 2d32dc37bf updated README 2021-05-19 15:16:43 +02:00
Klemek a6f99256ef updated README 2021-05-19 15:14:07 +02:00
Klemek a8b1ede962 spoiler filtering 2021-05-19 15:11:29 +02:00
Klemek da5e3fdb35 blacked 2021-05-19 13:33:15 +02:00
Klemek 516eb75b5c %first/%rand/%last image 2021-05-19 13:31:07 +02:00
Klemek 13447ff869 fix channel preload 2021-05-19 13:29:37 +02:00
Klemek 1a17e232ed allow queries in %first/%history/%last 2021-05-19 11:59:19 +02:00
Klemek c101002b6c backticks in %find can use regexes 2021-05-19 11:43:32 +02:00
Klemek d5a3667cfb prepare history scanner for images 2021-05-18 18:13:51 +02:00
Klemek b2858cca95 nsfw filters 2021-05-18 18:13:37 +02:00
Klemek a01414dce7 small improvments 2021-05-18 16:54:18 +02:00
Klemek 38056f430f small fixes 2021-05-18 16:08:38 +02:00
Klemek cd9b6b4d00 new alias for random 2021-05-18 16:04:28 +02:00
Klemek 620982f37b Merge pull request #39 from Klemek/dev
v1.14 minor fix
2021-04-22 20:16:20 +02:00
Klemek 245ae3f1df Merge branch 'master' into dev 2021-04-22 20:15:47 +02:00
Klemek 452f53c8f2 assume top if query is singular 2021-04-22 20:14:52 +02:00
Klemek 8e5bab22e7 small fix of formating 2021-04-22 16:26:11 +02:00
Klemek e878aa92d7 Merge pull request #38 from Klemek/dev
v1.14 fix
2021-04-22 16:23:18 +02:00
Klemek 8d1875a362 top arg for %find 2021-04-22 16:22:26 +02:00
Klemek d2cdea3db6 escape text in find scanner 2021-04-22 16:12:13 +02:00
Klemek 2fda54a6f5 Merge pull request #37 from Klemek/dev
v1.14
2021-04-22 15:23:23 +02:00
Klemek 3f7abd9a15 check for argument in %find 2021-04-22 15:21:01 +02:00
Klemek e77e46b361 fix help position in arguments 2021-04-22 15:20:49 +02:00
Klemek 5f8dfce640 %find command 2021-04-22 15:15:32 +02:00
Klemek fc5d9b82c1 fix relative date regex 2021-04-22 15:13:47 +02:00
Klemek 3721f1aef2 imports refactor 2021-04-22 14:58:08 +02:00
Klemek 4ce3d6023e more info when available 2021-04-22 14:50:48 +02:00
Klemek 1871ff1d13 fix relative time at start of day 2021-04-22 13:25:07 +02:00
Klemek f8e294f647 emotes => emojis 2021-04-22 13:09:07 +02:00
Klemek 6afb05148d scanner exception handling 2021-04-21 20:22:36 +02:00
Klemek 634f34fb54 better help for %gdpr 2021-04-21 20:14:15 +02:00
Klemek 7fad35a4b3 command_cache for %repeat and %mobile 2021-04-21 20:14:06 +02:00
Klemek 3100e6fa20 mobile/mention to fix @invalid-user bug 2021-04-21 11:26:37 +02:00
Klemek 0399fd8e61 Merge pull request #32 from Klemek/dev
v1.13
2021-04-09 19:51:54 +02:00
Klemek 76af4661ed fixed time range loading 2021-04-09 19:50:12 +02:00
Klemek cf6fa7ccf2 smol fix 2021-04-09 19:49:34 +02:00
Klemek 715a598513 fix cancelled bug 2021-04-09 19:11:30 +02:00
Klemek 0e4ed0eb6b only fetch history of given time 2021-04-09 19:07:43 +02:00
Klemek 09161850c5 clarified not serialized attributes 2021-04-09 18:29:27 +02:00
Klemek 5c570ee09b fix no value in relative time 2021-04-09 18:25:51 +02:00
Klemek 8c0605797a clarified dates syntax 2021-04-09 18:23:46 +02:00
Klemek 802e208092 alternative syntax for relative time range 2021-04-09 18:19:40 +02:00
Klemek 90a26bcc9c flattened results in data_type 2021-04-09 18:04:36 +02:00
Klemek 2062f08721 start en stop dates 2021-04-09 17:39:42 +02:00
Klemek b7a6f3313b factorized help and triple-quote multi-line 2021-04-09 15:34:03 +02:00
Klemek 5f903db929 updated version before forgeting 2021-04-09 15:02:08 +02:00
Klemek 737806a4ba updated readme 2021-04-09 15:00:53 +02:00
Klemek 6a70663201 gdpr agreements 2021-04-09 14:57:55 +02:00
Klemek 0550a16c51 create log dir before checking 2021-04-09 12:20:36 +02:00
Klemek 48c4e82cdf remove old and unused logs at start and guild leaving 2021-04-09 12:19:43 +02:00
Klemek 6cacb832bf removed black check 2021-04-09 00:46:36 +02:00
Klemek ee71314c41 removed black check 2021-04-09 00:45:57 +02:00
Klemek a26b90f392 simple CI 2021-04-09 00:41:54 +02:00
Klemek 04f681dba6 %words improvement 2021-04-09 00:40:28 +02:00
Klemek 8cc0e1fe65 small fix (#26)
* updated README

* improved %words command

* new words scanner

* fix test

* concurrent fast analysis

* fast analysis if fresh

* better memory handling

* fix "stuck" bug

* updated README

* improved %words command

* small fix
2021-04-07 19:36:24 +02:00
Klemek b018650ce4 rebase
* updated README

* improved %words command

* new words scanner

* fix test

* concurrent fast analysis

* fast analysis if fresh

* better memory handling

* fix "stuck" bug

* updated README

* improved %words command
2021-04-07 19:31:02 +02:00
Klemek 7d9a07af9c improved %words command 2021-04-07 19:29:26 +02:00
Klemek 6dcf6500f8 updated README 2021-04-07 19:04:48 +02:00
Klemek 88e7a7fe94 Merge pull request #21 from Klemek/dev
v1.12
2021-04-07 19:02:03 +02:00
Klemek 40dc5d3c62 fix "stuck" bug 2021-04-07 18:58:35 +02:00
Klemek 77d512fca8 Merge pull request #20 from Klemek/f-fix-memory-leak
better memory handling
2021-04-07 18:43:16 +02:00
Klemek 562fd51c91 better memory handling 2021-04-07 18:41:07 +02:00
Klemek 45d56a3acb Merge pull request #18 from Klemek/f-better-fast
better fast
2021-04-07 15:11:36 +02:00
Klemek ac782b4ea4 fast analysis if fresh 2021-04-07 15:09:10 +02:00
Klemek 91ae6ed383 concurrent fast analysis 2021-04-07 14:55:54 +02:00
Klemek f97682f46a fix test 2021-04-07 14:38:02 +02:00
Klemek 85a9ac0414 Merge pull request #17 from Klemek/f-words
%words for a top list of words used
2021-04-07 14:36:17 +02:00
Klemek 653f91dda3 new words scanner 2021-04-07 14:35:23 +02:00
Klemek d2cc7afc88 Merge pull request #12 from Klemek/dev
remove non serializable from dicts
2021-04-06 23:39:32 +02:00
Klemek 728f593061 remove non serializable from dicts 2021-04-06 23:38:42 +02:00
Klemek b3dc4cfb88 Merge pull request #11 from Klemek/dev
v1.11
2021-04-06 23:03:21 +02:00
Klemek 76817ab1a9 Merge pull request #10 from Klemek/f-history-commands
history commands
2021-04-06 23:02:26 +02:00
Klemek e9505fa082 history commands 2021-04-06 23:01:51 +02:00
Klemek aa32382e1d updated readme 2021-04-06 19:31:16 +02:00
Klemek 3d61c3c93f Merge pull request #9 from Klemek/f-python-check
check python version
2021-04-06 19:23:08 +02:00
Klemek 8d8ef57f94 check python version 2021-04-06 19:21:49 +02:00
Klemek 93c3312146 Merge pull request #8 from Klemek/f-streak
FrequencyScanner: streak calculation
2021-04-06 19:19:24 +02:00
Klemek 5ec8487100 new version 2021-04-06 19:10:53 +02:00
Klemek d219edeb7b formating 2021-04-06 19:09:59 +02:00
Klemek 14d229f633 streak computing 2021-04-06 19:09:55 +02:00
Klemek d0f5a9f986 Update README.md 2021-03-17 07:55:31 +01:00
Klemek f07db6ab40 Update README.md 2021-03-17 00:41:32 +01:00
Klemek 740f4c6769 Create LICENSE 2021-03-17 00:39:04 +01:00
Klemek e26d21e2a8 Update README.md 2021-03-16 22:31:52 +01:00
Klemek 306f680654 lock on shared list 2021-03-16 19:24:42 +01:00
Klemek 4738192099 v1.10 2021-03-16 16:13:21 +01:00
Klemek e72a7ccfa6 improved querying 2021-03-16 16:11:40 +01:00
Klemek 3e781c746f fix bug for forbidden channel 2021-03-16 16:00:20 +01:00
Klemek d092074ed5 wip v1.10 2021-03-16 15:41:35 +01:00
Klemek 66b94d2b9d multithread 2021-03-16 15:38:16 +01:00
Klemek 747563e61e updated Dockerfile 2021-03-16 12:17:28 +01:00
Klemek 19be57dc7e updated Dockerfile 2021-03-16 12:12:09 +01:00
Klemek a564449f82 updated Dockerfile 2021-03-16 12:11:00 +01:00
Klemek 9af3716977 fixed not cached channel in 'full' search 2021-03-15 21:04:15 +01:00
Klemek ecef7479d8 updated readme 2021-03-15 13:46:02 +01:00
Klemek f1ce5d668b updated readme 2021-03-15 13:45:26 +01:00
Klemek 2475296b2b updated readme and version 2021-03-15 13:36:52 +01:00
Klemek ae8c6d8031 fresh argument to invalidate cache 2021-03-15 13:35:46 +01:00
Klemek aba2889a63 updated readme 2021-03-14 22:50:49 +01:00
Klemek 4956f45098 all/everyone to include bots on scans 2021-03-14 22:48:58 +01:00
Klemek f2c3185fad Merge branch 'master' of github.com:Klemek/discord-analyst 2021-03-14 22:24:11 +01:00
Klemek a0b9a0865a fixed images not counted 2021-03-14 22:21:57 +01:00
Klemek e377e19a29 Update README.md 2021-03-14 10:57:00 +01:00
Klemek e56d120f5b Update README.md 2021-03-14 10:56:33 +01:00
Klemek 1b01145723 Update README.md 2021-03-14 10:55:17 +01:00
Klemek 22af84d826 fixed empty channel bug 2021-03-13 15:47:50 +01:00
klemek 4f71feb6d7 Dockerfile support 2021-01-21 11:39:58 +01:00
klemek 0cebda1936 use of discord.AllowedMentions 2021-01-14 19:57:47 +01:00
klemek 3a4462af06 typo 2021-01-14 19:07:48 +01:00
klemek 959ece013b new scanner : %react 2021-01-14 19:04:33 +01:00
klemek 8576c74730 take members args in account 2021-01-14 18:59:12 +01:00
klemek db8d610727 fix format 2021-01-14 18:54:59 +01:00
klemek 29f711c1cc small fix 2021-01-14 18:49:41 +01:00
klemek d945b67df2 I guess it's working now 2021-01-14 18:47:02 +01:00
klemek 32b481233d small fix 2021-01-14 18:46:42 +01:00
klemek 70734ea87e updated README.md 2021-01-14 18:44:38 +01:00
klemek b42e432bcd new scanner %chan 2021-01-14 18:44:10 +01:00
klemek ec027507ad small cleanup 2021-01-14 18:14:56 +01:00
klemek 7bb7700157 new scanner %msg 2021-01-14 18:14:37 +01:00
klemek 4505d7acbd mention => counter 2021-01-14 18:02:06 +01:00
klemek f0df0501e5 show members by default in emoji scan 2021-01-14 17:53:57 +01:00
klemek b97d7dfeb5 better members in emotes 2021-01-14 17:52:16 +01:00
klemek 306e8708a4 better presence for server-wide scan 2021-01-14 17:52:09 +01:00
klemek e1c619dabb new val_sum for refactoring 2021-01-14 17:22:59 +01:00
klemek c938369eba Merge branch 'master' of ssh://github.com/Klemek/discord-analyst 2021-01-14 14:50:28 +01:00
klemek 77c8d471e4 fix presence message 2021-01-14 11:12:47 +01:00
klemek 72b5fc19ee new wip version 2021-01-14 10:26:32 +01:00
Klemek 78fc073431 Update README.md 2021-01-13 17:02:03 +01:00
Klemek d524316702 Update README.md 2021-01-13 16:53:47 +01:00
klemek ce3e6424ff 1.7 release 2021-01-13 16:44:27 +01:00
klemek 8ef2c0588d help consistancy 2021-01-13 16:44:01 +01:00
klemek aa51e2cda0 %mentioned command 2021-01-13 16:41:10 +01:00
klemek 86dc115697 %mentions 2021-01-13 16:32:48 +01:00
klemek 5d994a82e0 escaped @everyone 2021-01-13 15:56:43 +01:00
klemek e02516677a cancel command 2021-01-13 15:25:02 +01:00
klemek e106ed4e41 emojis sorting 2021-01-13 15:12:28 +01:00
klemek ecf6cfe821 new wip version 2021-01-13 14:57:57 +01:00
klemek 404e25720e fixing members sorting in emojis 2021-01-11 23:01:23 +01:00
klemek 39ddb75cfe emotes alias 2021-01-11 22:40:28 +01:00
klemek a446440e86 fixed invalid value 2021-01-11 22:36:03 +01:00
klemek 3c3d3cf9dd mentions fixing 2021-01-11 22:31:30 +01:00
klemek e1f56f222b changed formulation 2021-01-11 22:26:50 +01:00
klemek 08c1581f0e fixing mentions ffs 2021-01-11 22:25:01 +01:00
klemek dd2597a926 disable fast if no logs 2021-01-11 22:14:03 +01:00
klemek 503f866ff2 most mentioned for not member specific 2021-01-11 22:11:29 +01:00
klemek 9668d96777 fetch answer as mention if available 2021-01-11 22:08:27 +01:00
klemek 1882e5ffe3 fixed custom emoji in composition scan 2021-01-11 22:03:19 +01:00
klemek a3216d58f3 fixed formatting 2021-01-11 21:54:15 +01:00
klemek dd5801b195 fix invalid mentions 2021-01-11 21:51:22 +01:00
klemek 79a1b3e023 updated version 2021-01-11 19:51:12 +01:00
klemek 08e0888a04 updated README.md 2021-01-11 19:50:55 +01:00
klemek 2038d00d64 emotes => emojis 2021-01-11 19:47:52 +01:00
klemek 91cdc36681 usage of new answer capability 2021-01-11 19:46:30 +01:00
klemek daad1a1563 small fixes 2021-01-11 19:34:22 +01:00
klemek d48031e4b5 composition scanner working yay 2021-01-11 19:23:26 +01:00
klemek e7daaed35b scanner logs 2021-01-11 18:17:54 +01:00
klemek efb6dddce4 reworked presence to get rid of useless emote analysis 2021-01-11 18:11:43 +01:00
klemek 6a6e15b054 use predefined msg_count and total_msg 2021-01-11 17:46:18 +01:00
klemek c6572a7dde %full => %scan, %comp => %compo 2021-01-11 17:41:20 +01:00
klemek 8b6d5e5361 better percent formatting 2021-01-11 17:38:55 +01:00
klemek 155fe48e70 presence scanner working yay 2021-01-11 17:26:34 +01:00
klemek 3c8f827246 fixed help 2021-01-11 16:49:20 +01:00
klemek 7281fb9a8f factorize common help 2021-01-11 16:47:29 +01:00
klemek a1d7354280 fast argument to only load cache 2021-01-11 16:43:50 +01:00
klemek ae9cc69ed2 Other => Presence 2021-01-11 16:35:33 +01:00
klemek bfe279095d me/here arguments 2021-01-11 15:57:18 +01:00
klemek 5563945dcc formatting fix 2021-01-11 15:50:26 +01:00
klemek 034562f167 working other scanner yay 2021-01-11 15:39:57 +01:00
klemek 5c848444db better sorted usage 2021-01-11 15:19:39 +01:00
klemek b671ee527e improved loading logs 2021-01-11 15:04:02 +01:00
klemek e11bbf0327 template for new scanners 2021-01-11 12:42:59 +01:00
klemek 11921ffee9 full scanner 2021-01-11 12:36:58 +01:00
klemek 5a3e7cc2b1 template for new scanners 2021-01-11 12:20:19 +01:00
klemek 68c67dd29a working frequency scanner yay 2021-01-11 12:12:17 +01:00
klemek 655b7f257f fixing frequency analysis 2021-01-10 17:57:56 +01:00
klemek ec900ea798 working on frequency analysis 2021-01-08 17:28:01 +01:00
klemek 7702e36fa0 refactoring 2021-01-08 16:31:38 +01:00
klemek ea0febfb3c more files refactoring 2021-01-08 16:25:22 +01:00
klemek eeedcb0b2d data type package 2021-01-08 16:16:04 +01:00
klemek 4e03a9a11b Base for new scanner 2021-01-08 16:09:04 +01:00
klemek 820f57f960 updated README.md 2021-01-08 16:02:43 +01:00
klemek a463bd8fc3 moved scan to static 2021-01-08 15:00:57 +01:00
klemek 98fe94275f update README.md 2021-01-08 13:12:32 +01:00
klemek 36e10d50d7 resource folder 2021-01-08 13:04:00 +01:00
klemek 5a965bbc7a code into packages 2021-01-08 12:57:23 +01:00
klemek 038b1a294c fixes from moving to src 2021-01-08 12:43:55 +01:00
klemek 6d3d1118f1 moved sources to src folder 2021-01-08 12:31:58 +01:00
klemek 4db8ee0b52 more scanner types 2021-01-08 12:30:52 +01:00
klemek 90aa399bfb ultimate factorisation 2021-01-08 12:16:18 +01:00
klemek 03003f24b0 (WIP) refactor to extract scan constants 2021-01-07 18:28:52 +01:00
klemek 69c451d3aa reading if messages have images 2021-01-07 18:08:08 +01:00
klemek 6ed8b21d76 refactoring 2021-01-07 16:28:51 +01:00
klemek 59cf039efa more logs to not freeze api 2021-01-07 16:07:30 +01:00
klemek ff9802a874 oops 2021-01-07 14:49:54 +01:00
klemek 241f27fc56 show number of times 2021-01-07 14:37:54 +01:00
klemek 1e491e0b6e fix emote message 2021-01-07 14:32:23 +01:00
klemek 34b35944e1 refactoring + "members" query 2021-01-07 14:30:01 +01:00
klemek ef52c601b9 check arguments 2021-01-07 13:36:48 +01:00
klemek af966f21d7 fix query speed in message 2021-01-07 12:42:29 +01:00
klemek 3bfb92209d fixing warning message ffs 2021-01-07 11:01:18 +01:00
klemek 58ac967fc2 fixing warning message 2021-01-07 11:00:30 +01:00
klemek 377012cf4a fixing log manager messages 2021-01-07 10:59:11 +01:00
klemek f779c699cf overload security 2021-01-07 10:50:25 +01:00
klemek 3a96a9041a fixing log manager messages 2021-01-07 10:42:25 +01:00
klemek 1c8d5e4023 fixing log manager messages 2021-01-07 10:25:35 +01:00
klemek 9a08bf717a new version 2021-01-07 09:58:32 +01:00
klemek 98acf749f5 fixed emoji mention 2021-01-07 09:55:59 +01:00
klemek 1406f5c24a fixing a lot of stuff 2021-01-07 09:53:28 +01:00
klemek 877080edbe correct message count 2021-01-06 20:38:24 +01:00
klemek 38e4c64ab3 fixed data handling 2021-01-06 19:19:13 +01:00
Klemek b8c4a79516 Update README.md 2021-01-06 19:08:23 +01:00
55 changed files with 4907 additions and 678 deletions
+34
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name: Docker
on: ["push", "pull_request"]
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v1
- name: Cache Docker layers
uses: actions/cache@v2
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Build
uses: docker/build-push-action@v2
with:
context: ./
file: ./Dockerfile
builder: ${{ steps.buildx.outputs.name }}
push: false
cache-from: type=local,src=/tmp/.buildx-cache
cache-to: type=local,dest=/tmp/.buildx-cache-new
- name: Move cache
run: |
rm -rf /tmp/.buildx-cache
mv /tmp/.buildx-cache-new /tmp/.buildx-cache
- name: Image digest
run: echo ${{ steps.docker_build.outputs.digest }}
+26
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name: Python
on: ["push", "pull_request"]
jobs:
syntax:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.7, 3.8, 3.9]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install flake8
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+2 -1
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@@ -4,4 +4,5 @@ __pycache__
.env
error_*
*.log
logs/
/logs/
.vscode
Executable
+17
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@@ -0,0 +1,17 @@
FROM python:3.8.10
# Create app directory
WORKDIR /usr/src/app
VOLUME ["/usr/src/app/logs"]
COPY requirements.txt ./
RUN pip install -r requirements.txt
RUN mkdir -p logs && touch logs/guilds.log && ln -s logs/guilds.log guilds.log
# Bundle app source
COPY . .
CMD [ "sh", "-c", "python src/main.py" ]
+674
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GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
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THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.
+141 -6
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@@ -1,15 +1,82 @@
![Python Version >= 3.7](https://img.shields.io/badge/python-%3E=3.7%20-blue)
[![Scc Count Badge](https://sloc.xyz/github/klemek/discord-analyst/?category=code)](https://github.com/boyter/scc/#badges-beta)
[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/Klemek/discord-analyst.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/Klemek/discord-analyst/context:python)
[![Total alerts](https://img.shields.io/lgtm/alerts/g/Klemek/discord-analyst.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/Klemek/discord-analyst/alerts/)
[![Discord Bots](https://top.gg/api/widget/status/643808410495615006.svg)](https://top.gg/bot/643808410495615006)
# Discord Analyst
When you need statistics about your discord server
#### 📈 Gives you precisions you never asked for.
* `%help (command)` - info about commands
* `%info` - version and uptime
* `%emotes` - gives you a full ranking of the server emotes by usage
* Be more specific by adding some `@member` or `#channel` in arguments
![preview](https://user-images.githubusercontent.com/12103162/111427226-1823ac80-86f6-11eb-9581-fada2db43143.png)
## All commands
```
* %help (command) - info about commands
* %info - version and uptime
* %scan - full analysis
* %freq - frequency analysis
* %compo - composition analysis
* %pres - presence analysis
* %repeat - repeat last analysis (adding supplied arguments)
* %mobile - fix @invalid-user for last command but mentions users
* %gdpr - displays GDPR information
* %find - find specific words or phrases (you can use quotes to add spaces in queries, backticks define regexes)
* arguments:
* top - rank users for these queries
* %first - read first message (add text to filter like %find)
* arguments:
* image - pull an image instead of a message
* spoiler:allow/only - allow spoiler images
* %rand - read a random message (add text to filter like %find)
* arguments:
* image - pull an image instead of a message
* spoiler:allow/only - allow spoiler images
* %last - read last message (add text to filter like %find)
* arguments:
* image - pull an image instead of a message
* spoiler:allow/only - allow spoiler images
* %emojis - rank emojis by their usage
* arguments:
* <n> - top <n> emojis, default is 20
* all - list all common emojis in addition to this guild's
* members - show top member for each emoji
* sort:usage/reaction - other sorting methods
* %mentions - rank mentions by their usage
* arguments:
* <n> - top <n> mentions, default is 10
* all - show role/channel/everyone/here mentions
* %mentioned - rank specific user mentions by their usage
* arguments:
* <n> - top <n> mentions, default is 10
* %msg - rank users by their messages
* arguments:
* <n> - top <n> messages, default is 10
* %chan - rank channels by their messages
* arguments:
* <n> - top <n> channels, default is 10
* %react - rank users by their reactions
* arguments:
* <n> - top <n> messages, default is 10
* %words - (BETA) rank words by their usage
* arguments:
* <n> - words containings <n> or more letters, default is 3
* <n2> - top <n2> words, default is 10
* %cancel - cancel current analysis (not launched with fast)
* Common arguments:
* @member/me: filter for one or more member
* #channel/here: filter for one or more channel
* <date1> - filter after <date1>
* <date2> - filter before <date2>
* all/everyone - include bots messages
* fast: only read cache
* fresh: does not read cache
* nsfw:allow/only - allow messages from nsfw channels
* mobile/mention: mentions users (fix @invalid-user bug)
(Sample dates: 2020 / 2021-11 / 2021-06-28 / 2020-06-28T23:00 / today / week / 8days / 1y)
```
## Running this bot
@@ -41,11 +108,79 @@ You will need:
**4. Launch bot**
```
python3 bot.py
python3 src/main.py
```
## Recommended permissions
- [x] View Channels
- [x] Read Message History
- [x] Send Messages
> On large servers, you should disable "Send Messages" and enable it on an read-only channel where only administrators can launch commands. The bot can't be triggered elsewhere if it can't answer.
## Already hosted bot
[![Discord Bots](https://top.gg/api/widget/643808410495615006.svg)](https://top.gg/bot/643808410495615006)
## Changelog
* **v1.16**
* `%freq graph` graph hours frequency along the week
* uses discord new time format
* `%freq` now shows quietest day of week and hour of day
* improvments and bug fix
* **v1.15**
* `nsfw:allow/only` filter nsfw channels
* `%find` can use regexes
* `%first`, `%rand` and `%last` can be filter with specific keywords
* `%first`, `%rand` and `%last` can pull images
* bug fix
* **v1.14**
* `mobile/mention` arg to fix mobile bug
* `%repeat`, `%mobile` to repeat commands
* more scan: `%find`
* bug fix
* **v1.13**
* improved scan `%words`
* remove old and unused logs at start and guild leaving
* GDPR disclaimer before scanning
* start and stop dates
* bug fix and improvements
* **v1.12**
* more scans: `%words`
* concurrent `fast` analysis
* assume `fast` if last analysis is fresh
* better memory handling
* bug fix
* **v1.11**
* more scans: `%first`, `%rand`, `%last`
* streak computing in `%pres`
* **v1.10**
* multithreading for queries
* bug fix
* **v1.9**:
* `all/everyone` to include bots in scans
* `fresh` to not use previously cached data
* bug fix
* **v1.8**:
* more scans: `%msg`, `%chan`
* bug fix
* **v1.7**:
* emojis percents
* emojis other sorting
* mentions/mentioned ranking
* `%cancel`
* **v1.6**:
* more scans: `%scan`, `%freq`, `%compo`, `%pres`
* huge bug fix
* **v1.5**:
* top <n> emojis
* bug fix
* **v1.4**:
* integrate miniscord
* insane speed with bot-side logging
* bug fix
* **v1.3**: revert to v1.1 and update requirements
* **v1.2**: don't quit on occasional exception
* **v1.1**:
-25
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@@ -1,25 +0,0 @@
from miniscord import Bot
import logging
import emotes
logging.basicConfig(
format="[%(asctime)s][%(levelname)s][%(module)s] %(message)s", level=logging.INFO
)
emotes.load_emojis()
bot = Bot(
"Discord Analyst", # name
"1.4", # version
alias="%", # respond to '|command' messages
)
bot.log_calls = True
bot.client.bot = bot # TODO place in miniscord
bot.register_command(
"emotes", # command text (regex)
emotes.compute, # command function
"emotes: Emotes analysis", # short help
emotes.HELP,
)
bot.start()
-397
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@@ -1,397 +0,0 @@
from typing import Dict, List, Tuple, Optional
from datetime import datetime
from collections import defaultdict
import discord
import re
import json
import logging
# Custom libs
from utils import debug, aggregate, no_duplicate
from log_manager import GuildLogs, ChannelLogs, MessageLog
# CONSTANTS
CHUNK_SIZE = 1000
# preload
EXTRA_EMOJI = {
"thumbup": "1f44d",
"thumbdown": "1f44e",
"timer": "23f2-fe0f",
"cowboy": "1f920",
"clown": "1f921",
"newspaper2": "1f5de-fe0f",
"french_bread": "1f956",
"nerd": "1f913",
"zipper_mouth": "1f910",
"salad": "1f957",
"rolling_eyes": "1f644",
"basketball_player": "26f9-fe0f-200d-2642-fe0f",
"thinking": "1f914",
"e_mail": "2709-fe0f",
"slight_frown": "1f641",
"skull_crossbones": "2620-fe0f",
"hand_splayed": "1f590-fe0f",
"speaking_head": "1f5e3-fe0f",
"cross": "271d-fe0f",
"crayon": "1f58d-fe0f",
"head_bandage": "1f915",
"rofl": "1f923",
"flag_white": "1f3f3-fe0f",
"slight_smile": "1f642",
"fork_knife_plate": "1f37d-fe0f",
"robot": "1f916",
"hugging": "1f917",
"biohazard": "2623-fe0f",
"notepad_spiral": "1f5d2-fe0f",
"lifter": "1f3cb-fe0f-200d-2642-fe0f",
"race_car": "1f3ce-fe0f",
"left_facing_fist": "1f91b",
"right_facing_fist": "1f91c",
"tools": "1f6e0-fe0f",
"umbrella2": "2602-fe0f",
"upside_down": "2b07-fe0f",
"first_place": "1f947",
"dagger": "1f5e1-fe0f",
"fox": "1f98a",
"menorah": "1f54e",
"desktop": "1f5a5-fe0f",
"motorcycle": "1f3cd-fe0f",
"levitate": "1f574-fe0f",
"cheese": "1f9c0",
"fingers_crossed": "1f91e",
"frowning2": "1f626",
"microphone2": "1f399-fe0f",
"flag_black": "1f3f4",
"chair": "1FA91",
}
GLOBAL_EMOJIS = {}
EMOJI_REGEX = re.compile("(<a?:\\w+:\\d+>|:\\w+:)")
def load_emojis():
global GLOBAL_EMOJIS, INV_GLOBAL_EMOJIS, EMOJI_REGEX
emoji_list = []
with open("emoji.json", mode="r") as f:
emoji_list = json.loads(f.readline().strip())
for emoji in EXTRA_EMOJI:
emoji_list += [{"short_name": emoji, "unified": EXTRA_EMOJI[emoji]}]
unicode_list = []
for emoji in emoji_list:
shortcode = emoji["short_name"]
unified = emoji["unified"]
if unified is not None and shortcode is not None:
unicode_escaped = "".join([f"\\U{c:0>8}" for c in unified.split("-")])
unicode = bytes(unicode_escaped, "ascii").decode("unicode-escape")
shortcode = f":{shortcode.replace('-','_')}:"
GLOBAL_EMOJIS[unicode] = shortcode
unicode_list += [unicode_escaped]
EMOJI_REGEX = re.compile(f"(<a?:\\w+:\\d+>|:\\w+:|{'|'.join(unicode_list)})")
logging.info(f"loaded {len(GLOBAL_EMOJIS)} emojis")
# MAIN
HELP = (
"```\n"
+ "%emotes : Rank emotes by their usage\n"
+ "arguments:\n"
+ "* @member : filter for one or more member\n"
+ "* #channel : filter for one or more channel\n"
+ "* reactions : add reaction analysis for members (long)\n"
+ "* all : list all common emojis in addition to this guild's\n"
+ "```"
)
async def compute(client: discord.client, message: discord.Message, *args: str):
"""
Computes the %emotes command
"""
guild = message.guild
logs = GuildLogs(guild)
# If "%emotes help" redirect to "%help emotes"
if "help" in args:
await client.bot.help(client, message, "help", "emotes")
return
# Create emotes dict from custom emojis of the guild
emotes = defaultdict(Emote)
for emoji in guild.emojis:
emotes[str(emoji)] = Emote(emoji)
# Get selected channels or all of them if no channel arguments
channels = no_duplicate(message.channel_mentions)
full = len(channels) == 0
if full:
channels = guild.text_channels
# Get selected members
members = no_duplicate(message.mentions)
raw_members = no_duplicate(message.raw_mentions)
# Start computing data
async with message.channel.typing():
progress = await message.channel.send("```Starting analysis...```")
total_msg, total_chan = await logs.load(progress, channels)
for id in logs.channels:
analyse_channel(
logs.channels[id], emotes, raw_members, all_emojis="all" in args
)
# Delete custom progress message
await progress.delete()
# Display results
await tell_results(
get_intro(emotes, full, channels, members, total_msg, total_chan),
emotes,
message.channel,
total_msg,
allow_unused=full and len(members) == 0,
show_life=False,
)
# CLASSES
class Emote:
"""
Custom class to store emotes data
"""
def __init__(self, emoji: Optional[discord.Emoji] = None):
self.emoji = emoji
self.usages = 0
self.reactions = 0
self.last_used = None
def update_use(self, date: datetime):
"""
Update last use date if more recent
"""
if self.last_used is None or date > self.last_used:
self.last_used = date
def used(self) -> bool:
return self.usages > 0 or self.reactions > 0
def score(self) -> float:
# Score is compose of usages + reactions
# When 2 emotes have the same score,
# the days since last use is stored in the digits
# (more recent first)
return self.usages + self.reactions + 1 / (100000 * (self.use_days() + 1))
def life_days(self) -> int:
return (datetime.today() - self.emoji.created_at).days
def use_days(self) -> int:
# If never used, use creation date instead
if self.last_used is None:
return self.life_days()
else:
return (datetime.today() - self.last_used).days
# ANALYSIS
def analyse_channel(
channel: ChannelLogs,
emotes: Dict[str, Emote],
raw_members: List[int],
*,
all_emojis: bool,
):
for message in channel.messages:
# If author included in the selection (empty list is all)
if len(raw_members) == 0 or message.author in raw_members:
# Find all emotes un the current message in the form "<:emoji:123456789>"
# Filter for known emotes
found = EMOJI_REGEX.findall(message.content)
# For each emote, update its usage
for name in found:
if name not in emotes:
if not all_emojis or name not in GLOBAL_EMOJIS:
continue
name = GLOBAL_EMOJIS[name]
emotes[name].usages += 1
emotes[name].update_use(message.created_at)
# For each reaction of this message, test if known emote and update when it's the case
for name in message.reactions:
raw_name = name
if name not in emotes:
if not all_emojis or name not in GLOBAL_EMOJIS:
continue
name = GLOBAL_EMOJIS[name]
if len(raw_members) == 0:
emotes[name].reactions += len(message.reactions[raw_name])
emotes[name].update_use(message.created_at)
else:
for member in raw_members:
if member in message.reactions[raw_name]:
emotes[name].reactions += 1
emotes[name].update_use(message.created_at)
# RESULTS
async def tell_results(
intro: str, # introduction sentence (from get_intro)
emotes: Dict[str, Emote],
channel: discord.TextChannel,
nmm: int, # number of impacted messages
*,
allow_unused: bool,
show_life: bool,
):
names = [name for name in emotes]
names.sort(key=lambda name: emotes[name].score(), reverse=True)
res = [intro]
res += [
f"{get_place(names.index(name))} {name} - "
f"{get_usage(emotes[name])}"
f"{get_reactions(emotes[name])}"
f"{get_life(emotes[name], show_life)}"
f"{get_last_used(emotes[name])}"
for name in names
if allow_unused or emotes[name].used()
]
res += [get_total(emotes, nmm)]
response = ""
for r in res:
if len(response + "\n" + r) > 2000:
await channel.send(response)
response = ""
response += "\n" + r
if len(response) > 0:
await channel.send(response)
def get_intro(
emotes: Dict[str, Emote],
full: bool,
channels: List[discord.TextChannel],
members: List[discord.Member],
nmm: int, # number of messages impacted
nc: int, # number of channels analysed
) -> str:
"""
Get the introduction sentence of the response
"""
# Show all data (members, channels) when it's less than 5 units
if len(members) == 0:
# Full scan of the server
if full:
return f"{len(emotes)} emotes in this server ({nc} channels, {nmm:,} messages):"
elif len(channels) < 5:
return f"{aggregate([c.mention for c in channels])} emotes usage in {nmm:,} messages:"
else:
return f"These {len(channels)} channels emotes usage in {nmm:,} messages:"
elif len(members) < 5:
if full:
return f"{aggregate([m.mention for m in members])} emotes usage in {nmm:,} messages:"
elif len(channels) < 5:
return (
f"{aggregate([m.mention for m in members])} on {aggregate([c.mention for c in channels])} "
f"emotes usage in {nmm:,} messages:"
)
else:
return (
f"{aggregate([m.mention for m in members])} on these {len(channels)} channels "
f"emotes usage in {nmm:,} messages:"
)
else:
if full:
return f"These {len(members)} members emotes usage in {nmm:,} messages:"
elif len(channels) < 5:
return (
f"These {len(members)} members on {aggregate([c.mention for c in channels])} "
f"emotes usage in {nmm:,} messages:"
)
else:
return (
f"These {len(members)} members on these {len(channels)} channels "
f"emotes usage in {nmm:,} messages:"
)
def get_place(i: int) -> str:
"""
Get the correct rank displayed (1st to 3rd have an emoji)
"""
if i == 0:
return ":first_place:"
if i == 1:
return ":second_place:"
if i == 2:
return ":third_place:"
return f"**#{i + 1}**"
def get_usage(emote: Emote) -> str:
"""
Get the correct usage displayed
"""
if emote.usages == 0 and emote.reactions == 0:
return "never used "
elif emote.usages == 1:
return "1 time "
else:
return f"{emote.usages:,} times "
def get_reactions(emote: Emote) -> str:
"""
Get the correct reactions displayed
"""
if emote.reactions == 0:
return ""
elif emote.reactions == 1:
return "and 1 reaction "
else:
return f"and {emote.reactions:,} reactions "
def get_life(emote: Emote, show_life: bool) -> str:
"""
Get the correct life span displayed
"""
if not show_life or emote.default:
return ""
else:
return f"(in {emote.life_days()} days) "
def get_last_used(emote: Emote) -> str:
"""
Get the correct "last used" displayed
"""
if emote.usages == 0 and emote.reactions == 0:
return ""
elif emote.use_days() == 0:
return "(last used today)"
elif emote.use_days() == 1:
return "(last used yesterday)"
else:
return f"(last used {emote.use_days()} days ago)"
def get_total(emotes: Dict[str, Emote], nmm: int) -> str:
"""
Get the total of all emotes used
"""
nu = 0
nr = 0
for name in emotes:
nu += emotes[name].usages
nr += emotes[name].reactions
if nr > 0:
return f"Total: {nu:,} times ({nu / nmm:.4f} / message) and {nr:,} reactions"
else:
return f"Total: {nu:,} times ({nu / nmm:.4f} / message)"
-206
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@@ -1,206 +0,0 @@
from typing import Union, List, Tuple
import os
import discord
import json
import gzip
from datetime import datetime
import logging
LOG_DIR = "logs"
if not os.path.exists(LOG_DIR):
os.mkdir(LOG_DIR)
CHUNK_SIZE = 1000
class FakeMessage:
def __init__(self, id: int):
self.id = id
class MessageLog:
def __init__(self, message: Union[discord.Message, dict]):
if isinstance(message, discord.Message):
self.id = message.id
self.created_at = message.created_at
self.edited_at = message.edited_at
self.author = message.author.id
self.pinned = message.pinned
self.mention_everyone = message.mention_everyone
self.tts = message.tts
self.reference = (
message.reference.id if message.reference is not None else None
)
self.content = message.content
self.mentions = message.raw_mentions
self.role_mentions = message.raw_role_mentions
self.channel_mentions = message.raw_channel_mentions
self.reactions = {}
elif isinstance(message, dict):
self.id = int(message["id"])
self.created_at = datetime.fromisoformat(message["created_at"])
self.edited_at = (
datetime.fromisoformat(message["edited_at"])
if message["edited_at"] is not None
else None
)
self.author = message["author"]
self.pinned = message["pinned"]
self.mention_everyone = message["mention_everyone"]
self.tts = message["tts"]
self.reference = message["reference"]
self.content = message["content"]
self.mentions = message["mentions"]
self.role_mentions = message["role_mentions"]
self.channel_mentions = message["channel_mentions"]
self.reactions = message["reactions"]
async def load(self, message: discord.Message):
for reaction in message.reactions:
self.reactions[str(reaction.emoji)] = []
async for user in reaction.users():
self.reactions[str(reaction.emoji)] += [user.id]
def dict(self) -> dict:
message = dict(self.__dict__)
message["created_at"] = self.created_at.isoformat()
message["edited_at"] = (
self.edited_at.isoformat() if self.edited_at is not None else None
)
return message
class ChannelLogs:
def __init__(self, channel: Union[discord.TextChannel, dict]):
if isinstance(channel, discord.TextChannel):
self.id = channel.id
self.name = channel.name
self.last_message_id = None
self.messages = []
elif isinstance(channel, dict):
self.id = int(channel["id"])
self.name = channel["name"]
self.last_message_id = channel["last_message_id"]
self.messages = [MessageLog(message) for message in channel["messages"]]
async def load(self, channel: discord.TextChannel) -> Tuple[int, int]:
self.name = channel.name
self.channel = channel
try:
if self.last_message_id is not None: # append
while self.last_message_id != channel.last_message_id:
async for message in channel.history(
limit=CHUNK_SIZE,
after=FakeMessage(self.last_message_id),
oldest_first=True,
):
self.last_message_id = message.id
if not message.author.bot:
m = MessageLog(message)
await m.load(message)
self.messages.insert(0, m)
yield len(self.messages), False
else: # first load
last_message_id = None
done = 0
while done >= CHUNK_SIZE or last_message_id is None:
done = 0
async for message in channel.history(
limit=CHUNK_SIZE,
before=FakeMessage(last_message_id)
if last_message_id is not None
else None,
oldest_first=False,
):
done += 1
last_message_id = message.id
if not message.author.bot:
m = MessageLog(message)
await m.load(message)
self.messages += [m]
yield len(self.messages), False
self.last_message_id = channel.last_message_id
except discord.errors.HTTPException:
return # When an exception occurs (like Forbidden)
yield len(self.messages), True
def dict(self) -> dict:
channel = dict(self.__dict__)
channel.pop("channel", None)
channel["messages"] = [message.dict() for message in self.messages]
return channel
class GuildLogs:
def __init__(self, guild: discord.Guild):
self.guild = guild
self.log_file = os.path.join(LOG_DIR, f"{guild.id}.logz")
self.channels = {}
def dict(self) -> dict:
return {id: self.channels[id].dict() for id in self.channels}
async def load(
self, progress: discord.Message, target_channels: List[discord.TextChannel] = []
):
await progress.edit(
content=f"```Reading history...\n(this might take a while)```"
)
# read logs
t0 = datetime.now()
if os.path.exists(self.log_file):
channels = {}
try:
with open(self.log_file, mode="rb") as f:
channels = json.loads(gzip.decompress(f.read()))
self.channels = {int(id): ChannelLogs(channels[id]) for id in channels}
dt = (datetime.now() - t0).total_seconds()
logging.info(f"log {self.guild.id} > loaded in {dt} s")
except json.decoder.JSONDecodeError:
logging.error(f"log {self.guild.id} > invalid JSON")
except IOError:
logging.error(f"log {self.guild.id} > cannot read")
# load channels
t0 = datetime.now()
if len(target_channels) == 0:
target_channels = self.guild.text_channels
loading_new = 0
total_msg = 0
total_chan = 0
for channel in target_channels:
if channel.id not in self.channels:
loading_new += 1
self.channels[channel.id] = ChannelLogs(channel)
async for count, done in self.channels[channel.id].load(channel):
if count > 0:
tmp_msg = total_msg + count
warning_msg = "(this might take a while)"
if len(target_channels) > 5 and loading_new > 5:
warning_msg = (
"(most channels are new, this might take a looong while)"
)
elif loading_new > 0:
warning_msg = (
"(some channels are new, this might take a long while)"
)
dt = (datetime.now() - t0).total_seconds()
await progress.edit(
content=f"```Reading history...\n{tmp_msg} messages in {total_chan + 1} channels ({round(tmp_msg/dt)}m/s)\n{warning_msg}```"
)
if done:
total_chan += 1
total_msg += len(self.channels[channel.id].messages)
dt = (datetime.now() - t0).total_seconds()
await progress.edit(
content=f"```Analysing...\n{tmp_msg} messages in {total_chan} channels```"
)
logging.info(f"log {self.guild.id} > queried in {dt} s -> {total_msg / dt} m/s")
# write logs
t0 = datetime.now()
with open(self.log_file, mode="wb") as f:
f.write(gzip.compress(bytes(json.dumps(self.dict()), "utf-8")))
dt = (datetime.now() - t0).total_seconds()
logging.info(f"log {self.guild.id} > written in {dt} s")
return total_msg, total_chan
+5 -2
View File
@@ -1,3 +1,6 @@
discord.py
python-dotenv
discord.py==1.7.0
python-dotenv==0.15.0
python-dateutil==2.8.1
git+git://github.com/Klemek/miniscord.git
numpy
matplotlib
View File
+6
View File
@@ -0,0 +1,6 @@
from .emoji import Emoji, get_emoji_dict
from .composition import Composition
from .counter import Counter
from .frequency import Frequency
from .history import History
from .presence import Presence
+67
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@@ -0,0 +1,67 @@
from typing import List
from collections import defaultdict
from utils import percent, top_key, plural, precise, val_sum
class Composition:
def __init__(self):
self.total_characters = 0
self.plain_text = 0
self.emoji_msg = 0
self.emoji_only = 0
self.emojis = defaultdict(int)
self.edited = 0
self.everyone = 0
self.answers = 0
self.images = 0
self.tts = 0
self.mentions = 0
self.mention_msg = 0
self.links = 0
self.link_msg = 0
self.spoilers = 0
def to_string(self, msg_count: int) -> List[str]:
total_emojis = val_sum(self.emojis)
top_emoji = top_key(self.emojis)
ret = [
f"- **avg. characters / message**: {self.total_characters/msg_count:.2f}",
f"- **plain text messages**: {self.plain_text:,} ({percent(self.plain_text/msg_count)})"
if self.plain_text > 0
else "",
f"- **edited messages**: {self.edited:,} ({percent(self.edited/msg_count)})"
if self.edited > 0
else "",
f"- **@\u200beveryone**: {self.everyone:,} ({percent(self.everyone/msg_count)})"
if self.everyone > 0
else "",
f"- **mentions**: {self.mentions:,} (in {percent(self.mention_msg/msg_count)} of msg, avg. {precise(self.mentions/msg_count)}/msg)"
if self.mentions > 0
else "",
f"- **answers**: {self.answers:,} ({percent(self.answers/msg_count)})"
if self.answers > 0
else "",
f"- **emojis**: {total_emojis:,} (in {percent(self.emoji_msg/msg_count)} of msg, avg. {precise(total_emojis/msg_count)}/msg)"
if total_emojis > 0
else "",
f"- **most used emoji**: {top_emoji} ({plural(self.emojis[top_emoji], 'time')}, {percent(self.emojis[top_emoji]/total_emojis)})"
if total_emojis > 0
else "",
f"- **emoji-only messages**: {self.emoji_only:,} ({percent(self.emoji_only/msg_count)})"
if self.emoji_only > 0
else "",
f"- **images**: {self.images:,} ({percent(self.images/msg_count)})"
if self.images > 0
else "",
f"- **links**: {self.links:,} ({percent(self.link_msg/msg_count)})"
if self.links > 0
else "",
f"- **spoilers**: {self.spoilers:,} ({percent(self.spoilers/msg_count)})"
if self.spoilers > 0
else "",
f"- **tts messages**: {self.tts:,} ({percent(self.tts/msg_count)})"
if self.tts > 0
else "",
]
return ret
+73
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@@ -0,0 +1,73 @@
from typing import Optional, Callable
from datetime import datetime
from collections import defaultdict
# Custom libs
from utils import plural, from_now, percent, val_sum, top_key
class Counter:
def __init__(self):
self.usages = defaultdict(int)
self.last_used = None
def update_use(self, count: int, date: datetime, item: int = 0):
self.usages[item] += count
if count > 0 and (self.last_used is None or date > self.last_used):
self.last_used = date
def score(self) -> float:
# Score is compose of usages + reactions
# When 2 emojis have the same score,
# the days since last use is stored in the digits
# (more recent first)
if self.last_used is None:
return 0
return self.all_usages() + 1 / (
100000 * ((datetime.today() - self.last_used).days + 1)
)
def all_usages(self) -> int:
return val_sum(self.usages)
def to_string(
self,
i: int,
name: str,
*,
total_usage: int,
counted: str = "time",
transform: Optional[Callable[[int], str]] = None,
ranking: bool = True,
top: bool = True,
) -> str:
# place
output = ""
if ranking:
if i == 0:
output += ":first_place: "
elif i == 1:
output += ":second_place: "
elif i == 2:
output += ":third_place: "
else:
output += f"**#{i + 1}** "
else:
output += f"- "
sum = val_sum(self.usages)
if sum > 0:
output += f"{name} - {plural(sum, counted)} ({percent(sum/total_usage)}, last {from_now(self.last_used)})"
else:
output += f"{name} - unused"
top_item = top_key(self.usages)
if sum > 0 and top and top_item != 0 and transform is not None:
if self.usages[top_item] == sum:
output += f" (all{transform(top_item)})"
else:
output += f" ({self.usages[top_item]:,}{transform(top_item)}, {percent(self.usages[top_item]/sum)})"
return output
@staticmethod
def total(d: dict) -> int:
return sum([val_sum(counter.usages) for counter in d.values()])
+106
View File
@@ -0,0 +1,106 @@
from typing import List, Optional, Dict
from datetime import datetime
from collections import defaultdict
import discord
# Custom libs
from utils import mention, plural, from_now, top_key, percent
class Emoji:
"""
Custom class to store emojis data
"""
def __init__(self, emoji: Optional[discord.Emoji] = None):
self.emoji = emoji
self.usages = 0
self.reactions = 0
self.last_used = None
self.members = defaultdict(int)
def update_use(self, date: datetime, members_id: List[int]):
"""
Update last use date if more recent and last member
"""
if self.last_used is None or date > self.last_used:
self.last_used = date
for member_id in members_id:
self.members[member_id] += 1
def used(self) -> bool:
return self.usages > 0 or self.reactions > 0
def score(self, *, usage_weight: int = 1, react_weight: int = 1) -> float:
# Score is compose of usages + reactions
# When 2 emojis have the same score,
# the days since last use is stored in the digits
# (more recent first)
return (
self.usages * usage_weight
+ self.reactions * react_weight
+ 1 / (100000 * (self.use_days() + 1))
)
def life_days(self) -> int:
return (datetime.today() - self.emoji.created_at).days
def use_days(self) -> int:
# If never used, use creation date instead
if self.last_used is None:
return self.life_days()
else:
return (datetime.today() - self.last_used).days
def get_top_member(self) -> int:
return top_key(self.members)
def to_string(
self,
i: int,
name: str,
*,
total_usage: int,
total_react: int,
show_life: bool,
show_members: bool,
) -> str:
# place
output = ""
if i == 0:
output += ":first_place:"
elif i == 1:
output += ":second_place:"
elif i == 2:
output += ":third_place:"
else:
output += f"**#{i + 1}**"
output += f" {name} - "
if not self.used():
output += "never used"
else:
if self.usages > 0:
output += f"{plural(self.usages, 'time')} ({percent(self.usages/total_usage)})"
if self.usages > 0 and self.reactions > 0:
output += " and "
if self.reactions >= 1:
output += f"{plural(self.reactions, 'reaction')} ({percent(self.reactions/total_react)})"
output += f" (last used {from_now(self.last_used)})"
if show_members:
top_member = self.get_top_member()
total = self.usages + self.reactions
if total == self.members[top_member]:
output += f" (all by {mention(top_member)})"
else:
output += f" ({self.members[top_member]} by {mention(top_member)}, {percent(self.members[top_member]/total)})"
if show_life and not self.default:
output += f" (in {plural(self.life_days(), 'day')})"
return output
def get_emoji_dict(guild: discord.Guild) -> Dict[str, Emoji]:
emojis = defaultdict(Emoji)
for emoji in guild.emojis:
emojis[str(emoji)] = Emoji(emoji)
return emojis
+155
View File
@@ -0,0 +1,155 @@
from typing import List
from datetime import timedelta
import calendar
import matplotlib.pyplot as plt
import numpy as np
from io import BytesIO
import discord
import time
from utils import (
from_now,
plural,
percent,
precise,
top_key,
mention,
)
CB_color_cycle = [
"#e41a1c",
"#984ea3",
"#377eb8",
"#4daf4a",
"#dede00",
"#ff7f00",
"#a65628",
"#f781bf",
"#999999",
]
class Frequency:
def __init__(self):
self.dates = []
self.longest_break = timedelta(seconds=0)
self.longest_break_start = None
self.hours = {i: {j: 0 for j in range(24)} for i in range(7)}
self.busiest_day = None
self.busiest_day_count = 0
self.busiest_hour = None
self.busiest_hour_count = 0
self.streaks = []
self.last_author = None
self.last_streak_start = None
self.last_streak_author = None
self.longest_streak = None
self.longest_streak_start = None
self.longest_streak_author = None
def to_graph(self) -> List[str]:
self.dates.sort()
delta = self.dates[-1] - self.dates[0]
if delta.days == 0:
delta = timedelta(days=1)
day = {j: sum(self.hours[i][j] for i in range(7)) for j in range(24)}
busiest_hour = top_key(day)
n_hours = delta.days
if self.dates[0].hour <= busiest_hour and self.dates[-1].hour >= busiest_hour:
n_hours += 1
plt.style.use("dark_background")
fig, ax = plt.subplots()
times = range(25)
ax.set_xticks(times)
ax.set_xticklabels([f"{t:0>2}h" if t % 2 == 0 else "" for t in times])
for i in range(7):
hours = [self.hours[i][hour] * 7 / n_hours for hour in range(24)] + [
self.hours[i][0] * 7 / n_hours
]
ax.plot(
times,
hours,
label=calendar.day_name[i],
linestyle="--",
linewidth=0.8,
c=CB_color_cycle[i],
)
hours = [day[hour] / n_hours for hour in range(24)] + [day[0] / n_hours]
ax.plot(times, hours, c="r", label="average", linewidth=1.5)
fig.patch.set_facecolor("#36393F")
ax.patch.set_alpha(0)
ax.set_xlim([0, 24])
ax.set_ylim([0, None])
ax.set_ylabel("average messages")
ax.legend(framealpha=0)
ax.grid(True, alpha=0.1)
with BytesIO() as f:
plt.savefig(
f,
format="png",
facecolor=fig.get_facecolor(),
edgecolor="none",
bbox_inches="tight",
dpi=300,
)
f.seek(0)
return [discord.File(f, f"{time.time()}-plot.png")]
def to_string(
self,
*,
member_specific: bool,
) -> List[str]:
self.dates.sort()
delta = self.dates[-1] - self.dates[0]
if delta.days == 0:
delta = timedelta(days=1)
total_msg = len(self.dates)
week = {i: sum(self.hours[i].values()) for i in range(7)}
day = {j: sum(self.hours[i][j] for i in range(7)) for j in range(24)}
busiest_weekday = top_key(week)
busiest_hour = top_key(day)
quietest_weekday = top_key(week, reverse=True)
quietest_hour = top_key(day, reverse=True)
n_weekdays = delta.days // 7
if (
self.dates[0].weekday() <= busiest_weekday
and self.dates[-1].weekday() >= busiest_weekday
) or n_weekdays == 0:
n_weekdays += 1
n_hours = delta.days
if self.dates[0].hour <= busiest_hour and self.dates[-1].hour >= busiest_hour:
n_hours += 1
ret = [
f"- **earliest message**: {from_now(self.dates[0])}",
f"- **latest message**: {from_now(self.dates[-1])}",
f"- **messages/day**: {precise(total_msg/delta.days, precision=3)}",
f"- **busiest day of week**: {calendar.day_name[busiest_weekday]} (~{precise(week[busiest_weekday]/n_weekdays, precision=3)} msg, {percent(week[busiest_weekday]/total_msg)})",
f"- **quietest day of week**: {calendar.day_name[quietest_weekday]} (~{precise(week[quietest_weekday]/n_weekdays, precision=3)} msg, {percent(week[quietest_weekday]/total_msg)})"
if week[quietest_weekday] > 0
else "",
f"- **busiest day ever**: {from_now(self.busiest_day)} ({self.busiest_day_count} msg)"
if self.busiest_day is not None
else "",
f"- **messages/hour**: {precise(total_msg*3600/delta.total_seconds(), precision=3)}",
f"- **busiest hour of day**: {busiest_hour:0>2}:00 (~{precise(day[busiest_hour]/n_hours, precision=3)} msg, {percent(day[busiest_hour]/total_msg)})",
f"- **quietest hour of day**: {quietest_hour:0>2}:00 (~{precise(day[quietest_hour]/n_hours, precision=3)} msg, {percent(day[quietest_hour]/total_msg)})"
if day[quietest_hour] > 0
else "",
f"- **busiest hour ever**: {from_now(self.busiest_hour)} ({self.busiest_hour_count} msg)",
f"- **longest break**: {plural(round(self.longest_break.total_seconds()/3600), 'hour')} ({plural(self.longest_break.days,'day')}), started {from_now(self.longest_break_start)}",
f"- **avg. streak**: {precise(sum(self.streaks)/len(self.streaks), precision=3)} msg",
f"- **longest streak**: {self.longest_streak:,} msg, started {from_now(self.longest_streak_start)}"
if member_specific
else f"- **longest streak**: {mention(self.longest_streak_author)} ({self.longest_streak:,} msg, started {from_now(self.longest_streak_start)})",
]
return ret
+112
View File
@@ -0,0 +1,112 @@
from typing import List
import random
# Custom libs
from utils import (
mention,
from_now,
message_link,
SPLIT_TOKEN,
FilterLevel,
should_allow_spoiler,
is_image_gif,
)
MAX_RANDOM_TRIES = 100
class History:
def __init__(self):
self.messages = []
async def to_string_image(
self, *, type: str, spoiler: FilterLevel, gif_only: bool
) -> List[str]:
if len(self.messages) == 0:
return ["There was no messages matching your filters"]
message = None
intro = None
real_message = None
if type == "first":
self.messages.sort(key=lambda m: m.created_at)
index = 0
while real_message is None and index < len(self.messages):
message = self.messages[index]
real_message = await message.fetch()
if real_message is not None and (
not should_allow_spoiler(real_message, spoiler)
or (gif_only and not is_image_gif(real_message))
):
real_message = None
index += 1
intro = f"First image out of {len(self.messages):,}"
elif type == "last":
self.messages.sort(key=lambda m: m.created_at, reverse=True)
index = 0
while real_message is None and index < len(self.messages):
message = self.messages[index]
real_message = await message.fetch()
if real_message is not None and (
not should_allow_spoiler(real_message, spoiler)
or (gif_only and not is_image_gif(real_message))
):
real_message = None
index += 1
intro = f"Last image out of {len(self.messages):,}"
elif type == "random":
intro = f"Random image out of {len(self.messages):,}"
tries = 0
while real_message is None and tries < MAX_RANDOM_TRIES:
message = random.choice(self.messages)
real_message = await message.fetch()
if real_message is not None and (
not should_allow_spoiler(real_message, spoiler)
or (gif_only and not is_image_gif(real_message))
):
real_message = None
tries += 1
if real_message is None:
return ["There was no messages matching your filters"]
image = "<Error>"
if len(real_message.attachments) > 0:
image = real_message.attachments[0].url
elif len(real_message.embeds) > 0:
image = real_message.embeds[0].url
return [
intro,
f"{from_now(message.created_at)}, {mention(message.author)} sent:",
f"<{message_link(message)}>",
SPLIT_TOKEN,
image,
]
def to_string(self, *, type: str) -> List[str]:
if len(self.messages) == 0:
return ["There was no messages matching your filters"]
message = None
intro = None
if type == "first":
self.messages.sort(key=lambda m: m.created_at)
message = self.messages[0]
intro = f"First message out of {len(self.messages):,}"
elif type == "last":
self.messages.sort(key=lambda m: m.created_at, reverse=True)
message = self.messages[0]
intro = f"Last message out of {len(self.messages):,}"
elif type == "random":
message = random.choice(self.messages)
intro = f"Random message out of {len(self.messages):,}"
text = ["> " + line for line in message.content.splitlines()]
if message.attachment:
text += ["> <image>" if message.image else "> <attachment>"]
return [
intro,
f"{from_now(message.created_at)}, {mention(message.author)} said:",
*text,
f"<{message_link(message)}>",
]
+94
View File
@@ -0,0 +1,94 @@
from typing import List, Optional
from collections import defaultdict
from utils import mention, channel_mention, plural, percent, top_key, val_sum
class Presence:
def __init__(self):
self.messages = defaultdict(int)
self.reactions = defaultdict(int)
self.used_reaction = defaultdict(int)
self.channel_usage = defaultdict(int)
self.channel_total = defaultdict(int)
self.mentions = defaultdict(int)
self.mention_others = defaultdict(int)
self.mention_count = defaultdict(int)
def to_string(
self,
msg_count: int,
total_msg: int,
*,
chan_count: Optional[int],
show_top_channel: bool,
member_specific: bool,
) -> List[str]:
if chan_count is None:
type = "server's"
elif chan_count == 1:
type = "channel's"
else:
type = "channels'"
top_member = top_key(self.messages)
top_channel = top_key(self.channel_usage)
channel_sum = val_sum(self.channel_usage)
found_in = top_key(
self.channel_usage,
key=lambda k: self.channel_usage[k] / self.channel_total[k],
)
top_mention = top_key(self.mentions)
mention_sum = val_sum(self.mentions)
top_mention_others = top_key(self.mention_others)
mention_others_sum = val_sum(self.mention_others)
top_member_mentioned = top_key(self.mention_count)
total_reaction_used = val_sum(self.reactions)
top_reaction = top_key(self.reactions)
top_reaction_member = top_key(self.used_reaction)
ret = [
f"- **messages**: {msg_count:,} ({percent(msg_count/total_msg)} of {type})"
if member_specific
else f"- **top messages**: {mention(top_member)} ({self.messages[top_member]:,} msg, {percent(self.messages[top_member]/val_sum(self.messages))})",
f"- **most visited channel**: {channel_mention(top_channel)} ({self.channel_usage[top_channel]:,} msg, {percent(self.channel_usage[top_channel]/channel_sum)})"
if show_top_channel
else "",
f"- **most contributed channel**: {channel_mention(found_in)} ({self.channel_usage[found_in]:,} msg, {percent(self.channel_usage[found_in]/self.channel_total[found_in])} of {type})"
if show_top_channel and member_specific
else "",
f"- **was mentioned**: {plural(mention_sum, 'time')} ({percent(mention_sum/val_sum(self.mention_count))} of {type})"
if member_specific and len(self.mentions) > 0
else "",
f"- **mostly mentioned by**: {mention(top_mention)} ({plural(self.mentions[top_mention], 'time')}, {percent(self.mentions[top_mention]/mention_sum)})"
if member_specific and len(self.mentions) > 0
else "",
f"- **mentioned others**: {plural(mention_others_sum, 'time')} ({percent(mention_others_sum/val_sum(self.mention_count))} of {type})"
if len(self.mention_others) > 0 and member_specific
else "",
f"- **mostly mentioned**: {mention(top_mention_others)} ({plural(self.mention_others[top_mention_others], 'time')}, {percent(self.mention_others[top_mention_others]/mention_others_sum)})"
if len(self.mention_others) > 0 and member_specific
else "",
f"- **mentioned**: {plural(mention_others_sum, 'time')} ({mention(top_member_mentioned)}, {percent(self.mention_count[top_member_mentioned]/val_sum(self.mention_count))})"
if len(self.mention_others) > 0 and not member_specific
else "",
f"- **top mentions**: {mention(top_member_mentioned)} ({plural(self.mention_count[top_member_mentioned], 'time')}, {percent(self.mention_count[top_member_mentioned]/val_sum(self.mention_count))})"
if len(self.mention_others) > 0 and not member_specific
else "",
f"- **most mentioned**: {mention(top_mention_others)} ({plural(self.mention_others[top_mention_others], 'time')}, {percent(self.mention_others[top_mention_others]/mention_others_sum)})"
if len(self.mention_others) > 0 and not member_specific
else "",
f"- **reactions**: {plural(total_reaction_used, 'time')}"
if len(self.reactions) > 0 and not member_specific
else "",
f"- **reactions**: {plural(total_reaction_used, 'time')} ({percent(total_reaction_used/val_sum(self.used_reaction))} of {type})"
if len(self.reactions) > 0 and member_specific
else "",
f"- **top reactions**: {mention(top_reaction_member)} ({plural(self.used_reaction[top_reaction_member], 'time')}, {percent(self.used_reaction[top_reaction_member]/val_sum(self.used_reaction))})"
if len(self.reactions) > 0 and not member_specific
else "",
f"- **most used reaction**: {top_reaction} ({plural(self.reactions[top_reaction], 'time')}, {percent(self.reactions[top_reaction]/total_reaction_used)})"
if len(self.reactions) > 0
else "",
]
return ret
+3
View File
@@ -0,0 +1,3 @@
from .message_log import MessageLog
from .channel_logs import ChannelLogs
from .guild_logs import GuildLogs, ALREADY_RUNNING, CANCELLED, NO_FILE
+141
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@@ -0,0 +1,141 @@
import logging
from typing import Union, Tuple, Any
import discord
from datetime import datetime
from . import MessageLog
from utils import serialize, FakeMessage
CHUNK_SIZE = 2000
FORMAT = 3
class ChannelLogs:
def __init__(self, channel: Union[discord.TextChannel, dict], guild: Any):
self.guild = guild
if isinstance(channel, discord.TextChannel):
self.id = channel.id
self.name = channel.name
self.last_message_id = None
self.first_message_id = None
self.format = FORMAT
self.messages = set()
self.start_date = None
elif isinstance(channel, dict):
self.format = channel["format"] if "format" in channel else None
if not self.is_format():
return
self.id = int(channel["id"])
self.name = channel["name"]
self.last_message_id = (
int(channel["last_message_id"])
if channel["last_message_id"] is not None
else None
)
self.first_message_id = (
int(channel["first_message_id"])
if "first_message_id" in channel
and channel["first_message_id"] is not None
else None
)
self.messages = {
MessageLog(message, self) for message in channel["messages"]
}
self.start_date = (
self.sorted_messages[0].created_at if len(self.messages) > 0 else None
)
def is_format(self):
return self.format == FORMAT
def preload(self, channel: discord.TextChannel):
self.name = channel.name
self.channel = channel
@property
def sorted_messages(self):
return sorted(self.messages)
@property
def nsfw(self):
self.channel.nsfw
async def load(
self, channel: discord.TextChannel, start_date: datetime, stop_date: datetime
) -> Tuple[int, int]:
is_empty = self.last_message_id is None
try:
if is_empty:
sanity_check = len(await channel.history(limit=1).flatten())
if sanity_check != 1:
yield len(self.messages), True
return
# load backward
if is_empty or (
self.first_message_id is not None
and (
start_date is None
or (self.start_date is not None and self.start_date > start_date)
)
):
first_message_date = None
tmp_message_id = 0
done = 0
while (
first_message_date is None
or (
done >= CHUNK_SIZE
and (start_date is None or first_message_date > start_date)
)
) and tmp_message_id != self.first_message_id:
tmp_message_id = self.first_message_id
done = 0
async for message in channel.history(
limit=CHUNK_SIZE,
before=FakeMessage(self.first_message_id)
if self.first_message_id is not None
else None,
oldest_first=False,
):
done += 1
self.first_message_id = message.id
first_message_date = message.created_at
m = MessageLog(message, self)
await m.load(message)
self.messages.add(m)
yield len(self.messages), False
if done < CHUNK_SIZE: # reached bottom
self.first_message_id = None
self.last_message_id = channel.last_message_id
# load forward
last_message_date = self.sorted_messages[-1].created_at
if not is_empty and (stop_date is None or last_message_date < stop_date):
tmp_message_id = None
while (
self.last_message_id != channel.last_message_id
and (stop_date is None or last_message_date < stop_date)
) and self.last_message_id != tmp_message_id:
tmp_message_id = self.last_message_id
async for message in channel.history(
limit=CHUNK_SIZE,
after=FakeMessage(self.first_message_id),
oldest_first=True,
):
last_message_date = message.created_at
self.last_message_id = message.id
m = MessageLog(message, self)
await m.load(message)
self.messages.add(m)
yield len(self.messages), False
except discord.errors.HTTPException as e:
yield -1, True
return # When an exception occurs (like Forbidden)
self.start_date = (
self.sorted_messages[0].created_at if len(self.messages) > 0 else None
)
yield len(self.messages), True
def dict(self) -> dict:
channel = serialize(self, not_serialized=["channel", "guild", "start_date"])
channel["messages"] = [message.dict() for message in self.messages]
return channel
+391
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@@ -0,0 +1,391 @@
from typing import List, Tuple
import os
import discord
import json
import gzip
from datetime import datetime
import time
import logging
import asyncio
import threading
from . import ChannelLogs
from utils import code_message, delta, deltas
LOG_DIR = "logs"
LOG_EXT = ".logz"
current_analysis = []
current_analysis_lock = threading.Lock()
ALREADY_RUNNING = -100
CANCELLED = -200
NO_FILE = -300
# 5 minutes, assume 'fast' arg
MIN_MODIFICATION_TIME = 5 * 60
# ~1 year, remove log file
MAX_MODIFICATION_TIME = 365 * 24 * 60 * 60
class Worker:
def __init__(
self,
channel_log: ChannelLogs,
channel: discord.TextChannel,
start_date: datetime,
stop_date: datetime,
):
self.channel_log = channel_log
self.channel = channel
self.start_msg = len(channel_log.messages)
self.total_msg = self.start_msg
self.queried_msg = 0
self.done = False
self.cancelled = False
self.loop = asyncio.get_event_loop()
self.start_date = start_date
self.stop_date = stop_date
def start(self):
asyncio.run_coroutine_threadsafe(self.process(), self.loop)
async def process(self):
async for count, done in self.channel_log.load(
self.channel, self.start_date, self.stop_date
):
if count > 0:
self.queried_msg = count - self.start_msg
self.total_msg = count
self.done = done
if self.cancelled:
return
class GuildLogs:
def __init__(self, guild: discord.Guild):
self.id = guild.id
self.guild = guild
self.log_file = os.path.join(LOG_DIR, f"{guild.id}{LOG_EXT}")
self.channels = {}
self.locked = False
def __enter__(self):
return self
def __exit__(self, type, value, tb):
del self.channels
del self.guild
if self.locked:
self.unlock()
def dict(self) -> dict:
return {id: self.channels[id].dict() for id in self.channels}
def check_cancelled(self) -> bool:
return self.locked and self.log_file not in current_analysis
def lock(self) -> bool:
current_analysis_lock.acquire()
if self.log_file in current_analysis:
current_analysis_lock.release()
return False
self.locked = True
current_analysis.append(self.log_file)
current_analysis_lock.release()
return True
def unlock(self):
if self.locked:
self.locked = False
current_analysis_lock.acquire()
if self.log_file in current_analysis:
current_analysis.remove(self.log_file)
current_analysis_lock.release()
async def load(
self,
progress: discord.Message,
target_channels: List[discord.TextChannel],
start_date: datetime,
stop_date: datetime,
*,
fast: bool,
fresh: bool,
) -> Tuple[int, int]:
self.locked = False
if not fast and not self.lock():
return ALREADY_RUNNING, 0
t00 = datetime.now()
# read logs
if not os.path.exists(LOG_DIR):
os.mkdir(LOG_DIR)
last_time = None
if not os.path.exists(self.log_file):
return NO_FILE, 0
channels = {}
try:
last_time = os.path.getmtime(self.log_file)
gziped_data = None
await code_message(progress, "Reading saved history (1/4)...")
t0 = datetime.now()
with open(self.log_file, mode="rb") as f:
gziped_data = f.read()
logging.info(f"log {self.guild.id} > read in {delta(t0):,}ms")
if self.check_cancelled():
return CANCELLED, 0
await code_message(progress, "Reading saved history (2/4)...")
t0 = datetime.now()
json_data = gzip.decompress(gziped_data)
del gziped_data
logging.info(f"log {self.guild.id} > gzip decompress in {delta(t0):,}ms")
if self.check_cancelled():
return CANCELLED, 0
await code_message(progress, "Reading saved history (3/4)...")
t0 = datetime.now()
channels = json.loads(json_data)
del json_data
logging.info(f"log {self.guild.id} > json parse in {delta(t0):,}ms")
if self.check_cancelled():
return CANCELLED, 0
await code_message(progress, "Reading saved history (4/4)...")
t0 = datetime.now()
self.channels = {
int(id): ChannelLogs(channels[id], self) for id in channels
}
# remove invalid format
self.channels = {
id: self.channels[id]
for id in self.channels
if self.channels[id].is_format()
}
logging.info(f"log {self.guild.id} > loaded in {delta(t0):,}ms")
except json.decoder.JSONDecodeError:
logging.error(f"log {self.guild.id} > invalid JSON")
except IOError:
logging.error(f"log {self.guild.id} > cannot read")
if len(target_channels) == 0:
target_channels = (
self.channels.values() if fast else self.guild.text_channels
)
elif fast:
# select already loaded channels only
target_channels_tmp = [
channel for channel in target_channels if channel.id in self.channels
]
if len(target_channels_tmp) == 0:
fast = False
else:
target_channels = target_channels_tmp
# assume fast if file is fresh
if (
not fast
and not fresh
and start_date is None
and stop_date is None
and last_time is not None
and (time.time() - last_time) < MIN_MODIFICATION_TIME
):
invalid_target_channels = [
channel
for channel in target_channels
if channel.id not in self.channels
or self.channels[channel.id].first_message_id is not None
]
if len(invalid_target_channels) == 0:
logging.info(f"log {self.guild.id} > assumed fast")
fast = True
if self.locked:
self.unlock()
total_msg = 0
total_chan = 0
if fast:
target_channels_id = [channel.id for channel in target_channels]
total_msg = sum(
[
len(channel.messages)
for channel in self.channels.values()
if channel.id in target_channels_id
]
)
total_chan = len(target_channels)
for channel in target_channels:
self.channels[channel.id].preload(channel)
else:
if not self.locked and not self.lock():
return ALREADY_RUNNING, 0
# load channels
t0 = datetime.now()
loading_new = 0
queried_msg = 0
total_chan = 0
max_chan = len(target_channels)
if self.check_cancelled():
return CANCELLED, 0
workers = []
for channel in target_channels:
if channel.id not in self.channels or fresh:
loading_new += 1
self.channels[channel.id] = ChannelLogs(channel, self)
self.channels[channel.id].preload(channel)
workers += [
Worker(self.channels[channel.id], channel, start_date, stop_date)
]
warning_msg = "(this might take a while)"
if len(target_channels) > 5 and loading_new > 5:
warning_msg = "(most channels are new, this will take a long while)"
elif loading_new > 0:
warning_msg = "(some channels are new, this might take a long while)"
await code_message(
progress,
f"Reading new history...\n0 messages in 0/{max_chan:,} channels\n{warning_msg}",
)
for worker in workers:
worker.start()
done = False
while not done:
if self.check_cancelled():
for worker in workers:
worker.cancelled = True
return CANCELLED, 0
await asyncio.sleep(0.5)
remaining = [
worker.channel.name for worker in workers if not worker.done
]
total_chan = max_chan - len(remaining)
queried_msg = sum([worker.queried_msg for worker in workers])
total_msg = sum([worker.total_msg for worker in workers])
if total_chan == max_chan:
done = True
remaining_msg = ""
if len(remaining) <= 5:
remaining_msg = "\nRemaining: " + ", ".join(remaining)
await code_message(
progress,
f"Reading new history...\n{total_msg:,} messages in {total_chan:,}/{max_chan:,} channels ({round(queried_msg/deltas(t0)):,}m/s)\n{warning_msg}{remaining_msg}",
)
logging.info(
f"log {self.guild.id} > queried {queried_msg} in {delta(t0):,}ms -> {queried_msg / deltas(t0):,.3f} m/s"
)
# write logs
real_total_msg = sum(
[len(channel.messages) for channel in self.channels.values()]
)
real_total_chan = len(self.channels)
if self.check_cancelled():
return CANCELLED, 0
await code_message(
progress,
f"Saving history (1/3)...\n{real_total_msg:,} messages in {real_total_chan:,} channels",
)
t0 = datetime.now()
json_data = bytes(json.dumps(self.dict()), "utf-8")
logging.info(
f"log {self.guild.id} > json dump in {delta(t0):,}ms -> {real_total_msg / deltas(t0):,.3f} m/s"
)
if self.check_cancelled():
return CANCELLED, 0
await code_message(
progress,
f"Saving history (2/3)...\n{real_total_msg:,} messages in {real_total_chan:,} channels",
)
t0 = datetime.now()
gziped_data = gzip.compress(json_data)
del json_data
logging.info(
f"log {self.guild.id} > gzip in {delta(t0):,}ms -> {real_total_msg / deltas(t0):,.3f} m/s"
)
if self.check_cancelled():
return CANCELLED, 0
await code_message(
progress,
f"Saving history (3/3)...\n{real_total_msg:,} messages in {real_total_chan:,} channels",
)
t0 = datetime.now()
with open(self.log_file, mode="wb") as f:
f.write(gziped_data)
del gziped_data
logging.info(
f"log {self.guild.id} > saved in {delta(t0):,}ms -> {real_total_msg / deltas(t0):,.3f} m/s"
)
if self.check_cancelled():
return CANCELLED, 0
await code_message(
progress,
f"Analysing...\n{total_msg:,} messages in {total_chan:,} channels",
)
logging.info(f"log {self.guild.id} > TOTAL TIME: {delta(t00):,}ms")
if self.locked:
current_analysis_lock.acquire()
current_analysis.remove(self.log_file)
current_analysis_lock.release()
return total_msg, total_chan
@staticmethod
async def cancel(client: discord.client, message: discord.Message, *args: str):
logs = GuildLogs(message.guild)
current_analysis_lock.acquire()
if logs.log_file in current_analysis:
current_analysis.remove(logs.log_file)
current_analysis_lock.release()
else:
current_analysis_lock.release()
await message.channel.send(
f"No cancellable analysis are currently running on this server",
reference=message,
)
@staticmethod
def init_log(guild: List[discord.Guild]):
if not os.path.exists(LOG_DIR):
os.mkdir(LOG_DIR)
filename = os.path.join(LOG_DIR, f"{guild.id}{LOG_EXT}")
if not os.path.exists(filename):
with open(filename, mode="wb") as f:
f.write(gzip.compress(bytes("{}", "utf-8")))
logging.info(f"log {guild.id} > created")
else:
logging.info(f"log {guild.id} > already exists")
@staticmethod
def remove_log(guild: List[discord.Guild]):
if not os.path.exists(LOG_DIR):
os.mkdir(LOG_DIR)
filename = os.path.join(LOG_DIR, f"{guild.id}{LOG_EXT}")
if os.path.exists(filename):
os.unlink(filename)
logging.info(f"log {guild.id} > removed")
else:
logging.info(f"log {guild.id} > does not exists")
@staticmethod
def check_logs(guilds: List[discord.Guild]):
logging.info(f"checking logs...")
if not os.path.exists(LOG_DIR):
os.mkdir(LOG_DIR)
guild_ids = [str(guild.id) for guild in guilds]
for item in os.listdir(LOG_DIR):
path = os.path.join(LOG_DIR, item)
name, ext = os.path.splitext(item)
if os.path.isfile(path) and ext == LOG_EXT:
if (
name in guild_ids
and (time.time() - os.path.getmtime(path)) > MAX_MODIFICATION_TIME
):
logging.info(f"> removing old log '{path}'")
os.unlink(path)
elif name not in guild_ids:
logging.info(f"> removing unused log '{path}'")
os.unlink(path)
+90
View File
@@ -0,0 +1,90 @@
from typing import Optional, Union, Any
import discord
from datetime import datetime
from utils import (
serialize,
has_image,
)
class MessageLog:
def __init__(self, message: Union[discord.Message, dict], channel: Any):
self.channel = channel
if isinstance(message, discord.Message):
self.id = message.id
self.created_at = message.created_at
self.edited_at = message.edited_at
self.author = message.author.id
self.pinned = message.pinned
self.mention_everyone = message.mention_everyone
self.tts = message.tts
self.bot = message.author.bot or message.author.system
self.content = message.content
self.mentions = message.raw_mentions
if message.reference is not None:
self.reference = message.reference.message_id
if message.reference.resolved is not None:
try:
self.mentions += [message.reference.resolved.author.id]
except AttributeError:
pass
else:
self.reference = None
self.role_mentions = message.raw_role_mentions
self.channel_mentions = message.raw_channel_mentions
self.image = False
self.attachment = len(message.attachments) > 0
self.embed = len(message.embeds) > 0
self.image = has_image(message)
self.reactions = {}
elif isinstance(message, dict):
self.id = int(message["id"])
self.created_at = datetime.fromisoformat(message["created_at"])
self.edited_at = (
datetime.fromisoformat(message["edited_at"])
if message["edited_at"] is not None
else None
)
self.author = int(message["author"])
self.pinned = message["pinned"]
self.mention_everyone = message["mention_everyone"]
self.tts = message["tts"]
self.reference = (
int(message["reference"]) if message["reference"] is not None else None
)
self.bot = message["bot"]
self.content = message["content"]
self.mentions = [int(m) for m in message["mentions"]]
self.role_mentions = [int(m) for m in message["role_mentions"]]
self.channel_mentions = [int(m) for m in message["channel_mentions"]]
self.image = message["image"]
self.embed = message["embed"]
self.attachment = message["attachment"]
self.reactions = message["reactions"]
def __eq__(self, other: object) -> bool:
return isinstance(other, self.__class__) and other.id == self.id
def __gt__(self, other: "MessageLog") -> bool:
return self.created_at > other.created_at
def __hash__(self) -> int:
return self.id
async def load(self, message: discord.Message):
for reaction in message.reactions:
self.reactions[str(reaction.emoji)] = []
async for user in reaction.users():
self.reactions[str(reaction.emoji)] += [user.id]
async def fetch(self) -> Optional[discord.Message]:
try:
return await self.channel.channel.fetch_message(self.id)
except (discord.NotFound, discord.Forbidden, discord.HTTPException):
return None
def dict(self) -> dict:
return serialize(
self, not_serialized=["channel"], dates=["created_at", "edited_at"]
)
+156
View File
@@ -0,0 +1,156 @@
import sys
from miniscord import Bot
import logging
if sys.version_info < (3, 7):
print("Please upgrade your Python version to 3.7.0 or higher")
sys.exit(1)
from utils import emojis, gdpr, command_cache
import scanners
from logs import GuildLogs
logging.basicConfig(
format="[%(asctime)s][%(levelname)s][%(module)s] %(message)s", level=logging.INFO
)
emojis.load_emojis()
bot = Bot(
"Discord Analyst",
"1.16.1",
alias="%",
)
bot.log_calls = True
async def on_ready():
GuildLogs.check_logs(bot.client.guilds)
return True
async def on_guild_remove():
GuildLogs.check_logs(bot.client.guilds)
return True
bot.register_event(on_ready)
bot.register_event(on_guild_remove)
bot.register_command(
"(cancel|stop)",
GuildLogs.cancel,
"cancel: stop current analysis (not launched with fast)",
"```\n%cancel: Stop current analysis (not launched with fast)\n```",
)
bot.register_command(
"gdpr",
gdpr.process,
"gdpr: displays GDPR information",
gdpr.HELP,
)
bot.register_command(
"words",
lambda *args: scanners.WordsScanner().compute(*args),
"words: (BETA) rank words by their usage",
scanners.WordsScanner.help(),
)
bot.register_command(
"repeat",
command_cache.repeat,
"repeat: repeat last analysis (adding supplied arguments)",
"```\n%repeat: repeat last analysis (adding supplied arguments)\n```",
)
bot.register_command(
"mobile",
lambda *args: command_cache.repeat(*args, add_args=["mobile"]),
"mobile: fix @invalid-user for last command but mentions users",
"```\n%mobile: fix @invalid-user for last command but mentions users\n```",
)
bot.register_command(
"find",
lambda *args: scanners.FindScanner().compute(*args),
"find: find specific words or phrases",
scanners.FindScanner.help(),
)
bot.register_command(
"last",
lambda *args: scanners.LastScanner().compute(*args),
"last: read last message",
scanners.LastScanner.help(),
)
bot.register_command(
"(rand(om)?|mood)",
lambda *args: scanners.RandomScanner().compute(*args),
"rand: read a random message",
scanners.RandomScanner.help(),
)
bot.register_command(
"first",
lambda *args: scanners.FirstScanner().compute(*args),
"first: read first message",
scanners.FirstScanner.help(),
)
bot.register_command(
"mentioned",
lambda *args: scanners.MentionedScanner().compute(*args),
"mentioned: rank specific user mentions by their usage",
scanners.MentionedScanner.help(),
)
bot.register_command(
"(mentions?)",
lambda *args: scanners.MentionsScanner().compute(*args),
"mentions: rank mentions by their usage",
scanners.MentionsScanner.help(),
)
bot.register_command(
"(emojis?|emotes?)",
lambda *args: scanners.EmojisScanner().compute(*args),
"emojis: rank emojis by their usage",
scanners.EmojisScanner.help(),
)
bot.register_command(
"(react(ions?)?)",
lambda *args: scanners.ReactionsScanner().compute(*args),
"react: rank users by their reactions",
scanners.ReactionsScanner.help(),
)
bot.register_command(
"(channels?|chan)",
lambda *args: scanners.ChannelsScanner().compute(*args),
"chan: rank channels by their messages",
scanners.ChannelsScanner.help(),
)
bot.register_command(
"(messages?|msg)",
lambda *args: scanners.MessagesScanner().compute(*args),
"msg: rank users by their messages",
scanners.MessagesScanner.help(),
)
bot.register_command(
"pres(ence)?",
lambda *args: scanners.PresenceScanner().compute(*args),
"pres: presence analysis",
scanners.PresenceScanner.help(),
)
bot.register_command(
"compo(sition)?",
lambda *args: scanners.CompositionScanner().compute(*args),
"compo: composition analysis",
scanners.CompositionScanner.help(),
)
bot.register_command(
"freq(ency)?",
lambda *args: scanners.FrequencyScanner().compute(*args),
"freq: frequency analysis",
scanners.FrequencyScanner.help(),
)
bot.register_command(
"(full|scan)",
lambda *args: scanners.FullScanner().compute(*args),
"scan: full analysis",
scanners.FullScanner.help(),
)
bot.start()
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from .scanner import Scanner
from .channels_scanner import ChannelsScanner
from .composition_scanner import CompositionScanner
from .emojis_scanner import EmojisScanner
from .find_scanner import FindScanner
from .first_scanner import FirstScanner
from .frequency_scanner import FrequencyScanner
from .full_scanner import FullScanner
from .last_scanner import LastScanner
from .mentioned_scanner import MentionedScanner
from .mentions_scanner import MentionsScanner
from .messages_scanner import MessagesScanner
from .presence_scanner import PresenceScanner
from .random_scanner import RandomScanner
from .reactions_scanner import ReactionsScanner
from .words_scanner import WordsScanner
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from typing import Dict, List
from collections import defaultdict
import discord
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import generate_help, mention, channel_mention
class ChannelsScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"chan",
"Rank channels by their messages",
args=["<n> - top <n>, default is 10", "all/everyone - include bots"],
example="5 @user",
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all", "everyone"],
help=ChannelsScanner.help(),
intro_context="Channels",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.top = 10
for arg in args:
if arg.isdigit():
self.top = int(arg)
self.all_messages = "all" in args or "everyone" in args
# Create mentions dict
self.messages = defaultdict(Counter)
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return ChannelsScanner.analyse_message(
channel.id,
message,
self.messages,
self.raw_members,
all_messages=self.all_messages,
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.messages]
names.sort(key=lambda name: self.messages[name].score(), reverse=True)
names = names[: self.top]
usage_count = Counter.total(self.messages)
res = [intro]
res += [
self.messages[name].to_string(
names.index(name),
channel_mention(name),
total_usage=usage_count,
counted="message",
transform=lambda id: f" by {mention(id)}",
top=len(self.members) != 1,
)
for name in names
]
return res
@staticmethod
def analyse_message(
channel_id: int,
message: MessageLog,
messages: Dict[str, Counter],
raw_members: List[int],
*,
all_messages: bool,
) -> bool:
impacted = False
if (
len(raw_members) == 0
and (not message.bot or all_messages)
or message.author in raw_members
):
impacted = True
messages[channel_id].update_use(1, message.created_at, message.author)
return impacted
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from typing import List
import re
import discord
# Custom libs
from .scanner import Scanner
from data_types import Composition
from logs import ChannelLogs, MessageLog
from utils import emojis, generate_help
class CompositionScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help("compo", "Show composition statistics")
def __init__(self):
super().__init__(
valid_args=["all", "everyone"],
help=CompositionScanner.help(),
intro_context="Composition",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.compo = Composition()
self.all_messages = "all" in args or "everyone" in args
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
ret = CompositionScanner.analyse_message(
message, self.compo, self.raw_members, all_messages=self.all_messages
)
return ret
def get_results(self, intro: str) -> List[str]:
res = [intro]
res += self.compo.to_string(self.msg_count)
return res
@staticmethod
def analyse_message(
message: MessageLog,
compo: Composition,
raw_members: List[int],
*,
all_messages: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
):
impacted = True
compo.total_characters += len(message.content)
emojis_found = emojis.regex.findall(message.content)
without_emoji = message.content
for name in emojis_found:
if name in emojis.unicode_list or re.match(
r"(<a?:[\w\-\~]+:\d+>|:[\w\\-\~]+:)", name
):
compo.emojis[name] += 1
i = without_emoji.index(name)
without_emoji = without_emoji[:i] + without_emoji[i + len(name) :]
if len(message.content.strip()) > 0 and len(without_emoji.strip()) == 0:
compo.emoji_only += 1
if len(emojis_found) > 0:
compo.emoji_msg += 1
links_found = re.findall(r"https?:\/\/", message.content)
compo.links += len(links_found)
if len(links_found) > 0:
compo.link_msg += 1
mentions = (
len(message.mentions)
+ len(message.role_mentions)
+ len(message.channel_mentions)
)
if message.mention_everyone:
compo.everyone += 1
mentions += 1
if mentions > 0:
compo.mentions += mentions
compo.mention_msg += 1
spoilers_found = re.findall(r"\|\|[^|]+\|\|", message.content)
if len(spoilers_found) > 0:
compo.spoilers += 1
if message.edited_at is not None:
compo.edited += 1
if message.reference is not None:
compo.answers += 1
if message.image:
compo.images += 1
if message.tts:
compo.tts += 1
if (
len(emojis_found) == 0
and message.reference is None
and not message.image
and len(message.mentions) == 0
and len(message.role_mentions) == 0
and len(message.channel_mentions) == 0
and not message.tts
and not message.mention_everyone
and not message.embed
and not message.attachment
):
compo.plain_text += 1
return impacted
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from typing import Dict, List
import discord
# Custom libs
from logs import ChannelLogs, MessageLog
from data_types import Emoji, get_emoji_dict
from .scanner import Scanner
from utils import emojis, generate_help, plural, precise
class EmojisScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"emojis",
"Rank emojis by their usage",
args=[
"<n> - top <n> emojis, default is 20",
"all - list all common emojis in addition to this guild's",
"members - show top member for each emojis",
"sort:usage/reaction - other sorting methods",
"everyone - include bots",
],
example="10 all #mychannel1 #mychannel2 @user",
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all", "members", "sort:usage", "sort:reaction", "everyone"],
help=EmojisScanner.help(),
intro_context="Emoji usage",
)
async def init(self, message: discord.Message, *args: str) -> bool:
guild = message.channel.guild
# get max emojis to view
self.top = 20
for arg in args:
if arg.isdigit():
self.top = int(arg)
# check other args
self.all_emojis = "all" in args
self.show_members = "members" in args and (
len(self.members) == 0 or len(self.members) > 1
)
# Create emojis dict from custom emojis of the guild
self.emojis = get_emoji_dict(guild)
self.sort = None
if "sort:usage" in args:
self.sort = "usage"
elif "sort:reaction" in args:
self.sort = "reaction"
self.all_messages = "everyone" in args
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return EmojisScanner.analyse_message(
message,
self.emojis,
self.raw_members,
all_emojis=self.all_emojis,
all_messages=self.all_messages,
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.emojis]
names.sort(
key=lambda name: self.emojis[name].score(
usage_weight=(0 if self.sort == "reaction" else 1),
react_weight=(0 if self.sort == "usage" else 1),
),
reverse=True,
)
names = names[: self.top]
# Get the total of all emojis used
usage_count = 0
reaction_count = 0
for name in self.emojis:
usage_count += self.emojis[name].usages
reaction_count += self.emojis[name].reactions
res = [intro]
allow_unused = self.full and len(self.members) == 0
if self.sort is not None:
res += [f"(Sorted by {self.sort})"]
res += [
self.emojis[name].to_string(
names.index(name),
name,
total_usage=usage_count,
total_react=reaction_count,
show_life=False,
show_members=self.show_members or len(self.raw_members) == 0,
)
for name in names
if allow_unused or self.emojis[name].used()
]
res += [
f"Total: {plural(usage_count,'time')} ({precise(usage_count/self.msg_count)}/msg)"
]
if reaction_count > 0:
res[-1] += f" and {plural(reaction_count, 'reaction')}"
return res
@staticmethod
def analyse_message(
message: MessageLog,
emojis_dict: Dict[str, Emoji],
raw_members: List[int],
*,
all_emojis: bool,
all_messages: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
):
impacted = True
# Find all emojis un the current message in the form "<:emoji:123456789>"
# Filter for known emojis
found = emojis.regex.findall(message.content)
# For each emoji, update its usage
for name in found:
if name not in emojis_dict:
if not all_emojis or name not in emojis.unicode_list:
continue
emojis_dict[name].usages += 1
emojis_dict[name].update_use(message.created_at, [message.author])
# For each reaction of this message, test if known emoji and update when it's the case
for name in message.reactions:
if name not in emojis_dict:
if not all_emojis or name not in emojis.unicode_list:
continue
if len(raw_members) == 0:
emojis_dict[name].reactions += len(message.reactions[name])
emojis_dict[name].update_use(
message.created_at, message.reactions[name]
)
else:
for member in raw_members:
if member in message.reactions[name]:
emojis_dict[name].reactions += 1
emojis_dict[name].update_use(message.created_at, [member])
return impacted
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from typing import Dict, List, Optional, Tuple
from collections import defaultdict
import discord
import re
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import (
generate_help,
plural,
precise,
mention,
escape_text,
)
class FindScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"find",
"Find specific words or phrases (you can use quotes to add spaces in queries, backticks define regexes)",
args=[
"top - rank users for these queries",
"all/everyone - include bots",
],
example='#mychannel1 #mychannel2 @user "I love you" "you too"',
)
def __init__(self):
super().__init__(
all_args=True,
valid_args=["all", "everyone", "top"],
help=FindScanner.help(),
intro_context="Matches",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.matches = defaultdict(Counter)
self.all_messages = "all" in args or "everyone" in args
self.top = "top" in args or len(self.other_args) == 1
if len(self.other_args) == 0:
await message.channel.send(
"You need to add a query to find (you can use quotes to add spaces in queries, backticks define regexes)",
reference=message,
)
return False
self.queries = [
(query, query.strip("`") if re.match(r"^`.*`$", query) else None)
for query in self.other_args
]
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return FindScanner.analyse_message(
message,
self.matches,
self.queries,
self.raw_members,
all_messages=self.all_messages,
top=self.top,
)
def get_results(self, intro: str) -> List[str]:
res = [intro]
matches = [match for match in self.matches]
matches.sort(key=lambda match: self.matches[match].score(), reverse=True)
usage_count = Counter.total(self.matches)
if self.top:
res += [
self.matches[match].to_string(
matches.index(match),
mention(match),
total_usage=usage_count,
)
for match in matches
]
else:
res += [
self.matches[match].to_string(
matches.index(match),
f'"{escape_text(match)}"'
if len(match.strip("`")) == len(match)
else match,
total_usage=self.msg_count,
ranking=False,
transform=lambda id: f" by {mention(id)}",
top=len(self.members) != 1,
)
for match in matches
]
if self.top or len(matches) > 1:
res += [
f"Total: {plural(usage_count,'time')} ({precise(usage_count/self.msg_count)}/msg)"
]
return res
special_cases = ["'s", "s"]
@staticmethod
def analyse_message(
message: MessageLog,
matches: Dict[str, Counter],
queries: List[Tuple[str, Optional[str]]],
raw_members: List[int],
*,
all_messages: bool,
top: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
):
impacted = True
content = message.content.lower()
for query in queries:
if query[1] is not None:
count = len(re.findall(query[1], message.content))
else:
count = content.count(query[0].lower())
if top:
if count > 0:
matches[message.author].update_use(count, message.created_at)
else:
matches[query[0]].update_use(
count, message.created_at, message.author
)
return impacted
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from typing import List
# Custom libs
from .history_scanner import HistoryScanner
from utils import generate_help
class FirstScanner(HistoryScanner):
@staticmethod
def help() -> str:
return generate_help(
"first",
"Read first message (add text to filter like %find)",
args=[
"image/gif - pull an image instead of a message",
"spoiler:allow/only - allow spoiler images",
],
)
def __init__(self):
super().__init__(help=FirstScanner.help())
async def get_results(self, intro: str) -> List[str]:
if self.images_only:
return await self.history.to_string_image(
type="first", spoiler=self.spoiler, gif_only=self.gif_only
)
else:
return self.history.to_string(type="first")
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from typing import List
from datetime import datetime
import discord
# Custom libs
from .scanner import Scanner
from data_types import Frequency
from logs import ChannelLogs, MessageLog
from utils import generate_help
class FrequencyScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"freq",
"(BETA) Show frequency-related statistics",
args=[
"graph - plot hours of week",
],
)
def __init__(self):
super().__init__(
valid_args=["all", "everyone", "graph"],
help=FrequencyScanner.help(),
intro_context="Frequency",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.freq = Frequency()
self.all_messages = "all" in args or "everyone" in args
self.member_specific = len(self.members) > 0
self.to_graph = "graph" in args
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return FrequencyScanner.analyse_message(
message, self.freq, self.raw_members, all_messages=self.all_messages
)
def get_results(self, intro: str) -> List[str]:
FrequencyScanner.compute_results(self.freq)
if self.to_graph:
res = self.freq.to_graph()
else:
res = [intro]
res += self.freq.to_string(
member_specific=self.member_specific,
)
return res
@staticmethod
def analyse_message(
message: MessageLog,
freq: Frequency,
raw_members: List[int],
*,
all_messages: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
):
impacted = True
freq.dates += [message.created_at]
if message.author == freq.last_author:
freq.streaks[-1] += 1
else:
if len(freq.streaks) > 0 and (
freq.longest_streak is None
or freq.streaks[-1] > freq.longest_streak
):
freq.longest_streak = freq.streaks[-1]
freq.longest_streak_start = freq.last_streak_start
freq.longest_streak_author = freq.last_streak_author
freq.streaks += [1]
freq.last_streak_start = message.created_at
freq.last_streak_author = message.author
freq.last_author = message.author
return impacted
@staticmethod
def compute_results(freq: Frequency):
freq.dates.sort()
latest = freq.dates[0]
current_day = 0
current_day_date = freq.dates[0]
current_day_count = 0
current_hour_buffer = []
for date in freq.dates:
# calculate longest break
delay = date - latest
if delay > freq.longest_break:
freq.longest_break = delay
freq.longest_break_start = latest
latest = date
# calculate busiest weekday / hours
freq.hours[date.weekday()][date.hour] += 1
# calculate busiest day ever
start_delta = date - freq.dates[0]
if start_delta.days > current_day:
if current_day_count > freq.busiest_day_count:
freq.busiest_day_count = current_day_count
freq.busiest_day = current_day_date
current_day = start_delta.days
current_day_date = date
current_day_count = 0
else:
current_day_count += 1
# calculate busiest hour ever
while (
len(current_hour_buffer) > 0
and (date - current_hour_buffer[0]).total_seconds() > 3600
):
current_hour_buffer.pop(0)
current_hour_buffer += [date]
if len(current_hour_buffer) > freq.busiest_hour_count:
freq.busiest_hour = current_hour_buffer[0]
freq.busiest_hour_count = len(current_hour_buffer)
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from typing import List
import discord
# Custom libs
from .scanner import Scanner
from .composition_scanner import CompositionScanner
from .frequency_scanner import FrequencyScanner
from .presence_scanner import PresenceScanner
from data_types import Frequency, Composition, Presence
from logs import ChannelLogs, MessageLog
from utils import generate_help
class FullScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help("scan", "Show full statistics")
def __init__(self):
super().__init__(
valid_args=["all", "everyone"],
help=FullScanner.help(),
intro_context="Full analysis",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.freq = Frequency()
self.compo = Composition()
self.pres = Presence()
self.member_specific = len(self.members) > 0
self.all_messages = "all" in args or "everyone" in args
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
FrequencyScanner.analyse_message(
message, self.freq, self.raw_members, all_messages=self.all_messages
)
CompositionScanner.analyse_message(
message, self.compo, self.raw_members, all_messages=self.all_messages
)
PresenceScanner.analyse_message(
channel,
message,
self.pres,
self.raw_members,
all_messages=self.all_messages,
)
return (
(not message.bot or self.all_messages)
and len(self.raw_members) == 0
or message.author in self.raw_members
)
def get_results(self, intro: str) -> List[str]:
FrequencyScanner.compute_results(self.freq)
res = [intro]
res += ["__Frequency__:"]
res += self.freq.to_string(member_specific=self.member_specific)
res += ["__Composition__:"]
res += self.compo.to_string(self.msg_count)
res += ["__Presence__:"]
res += self.pres.to_string(
self.msg_count,
self.total_msg,
show_top_channel=len(self.channels) > 1,
member_specific=self.member_specific,
chan_count=len(self.channels) if not self.full else None,
)
return res
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from abc import ABC, abstractmethod
from typing import List, Tuple, Optional
import discord
import re
# Custom libs
from .scanner import Scanner
from data_types import History
from logs import ChannelLogs, MessageLog
from utils import FilterLevel
class HistoryScanner(Scanner, ABC):
def __init__(self, *, help: str):
super().__init__(
has_digit_args=True,
valid_args=[
"all",
"everyone",
"spoiler",
"spoiler:allow",
"spoiler:only",
"image",
"img",
"gif",
],
help=help,
intro_context="",
all_args=True,
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.history = History()
self.all_messages = "all" in args or "everyone" in args
self.images_only = "image" in args or "img" in args or "gif" in args
self.gif_only = "gif" in args
if "spoiler" in args or "spoiler:allow" in args:
self.spoiler = FilterLevel.ALLOW
elif "spoiler:only" in args:
self.spoiler = FilterLevel.ONLY
else:
self.spoiler = FilterLevel.NONE
if not self.images_only:
self.queries = [
(
query.lower(),
query.strip("`") if re.match(r"^`.*`$", query) else None,
)
for query in self.other_args
]
else:
self.queries = []
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return HistoryScanner.analyse_message(
channel,
message,
self.history,
self.raw_members,
all_messages=self.all_messages,
queries=self.queries,
images_only=self.images_only,
)
@abstractmethod
def get_results(self, intro: str):
pass
@staticmethod
def analyse_message(
channel: ChannelLogs,
message: MessageLog,
history: History,
raw_members: List[int],
*,
all_messages: bool,
queries: List[Tuple[str, Optional[str]]],
images_only: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
)
and (message.content or message.attachment)
and (not images_only or message.image)
):
if not images_only:
content = message.content.lower()
for query in queries:
if query[1] is not None:
if not re.match(query[1], message.content):
return False
elif not query[0] in content:
return False
impacted = True
history.messages += [message]
return impacted
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from typing import List
# Custom libs
from .history_scanner import HistoryScanner
from utils import generate_help
class LastScanner(HistoryScanner):
@staticmethod
def help() -> str:
return generate_help(
"last",
"Read last message (add text to filter like %find)",
args=[
"image/gif - pull an image instead of a message",
"spoiler:allow/only - allow spoiler images",
],
)
def __init__(self):
super().__init__(help=LastScanner.help())
async def get_results(self, intro: str) -> List[str]:
if self.images_only:
return await self.history.to_string_image(
type="last", spoiler=self.spoiler, gif_only=self.gif_only
)
else:
return self.history.to_string(type="last")
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from typing import Dict, List
from collections import defaultdict
import discord
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import generate_help, plural, precise, mention, alt_mention
class MentionedScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"mentioned",
"Rank specific user's mentions by their usage",
args=["<n> - top <n>, default is 10", "all/everyone - include bots"],
example="5 @user",
replace_args=[" @member/me - (required) one or more member"],
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all"],
help=MentionedScanner.help(),
intro_context="Mentioned by members",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.top = 10
for arg in args:
if arg.isdigit():
self.top = int(arg)
if len(self.members) == 0:
await message.channel.send(
"You need to mention at least one member or use `me`", reference=message
)
return False
self.all_mentions = "all" in args or "everyone" in args
# Create mentions dict
self.mentions = defaultdict(Counter)
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return MentionedScanner.analyse_message(
message, self.mentions, self.raw_members, all_mentions=self.all_mentions
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.mentions]
names.sort(key=lambda name: self.mentions[name].score(), reverse=True)
names = names[: self.top]
usage_count = Counter.total(self.mentions)
res = [intro]
res += [
self.mentions[name].to_string(
names.index(name),
name,
total_usage=usage_count,
transform=lambda id: f" for {mention(id)}",
top=len(self.members) != 1,
)
for name in names
]
res += [
f"Total: {plural(usage_count,'time')} ({precise(usage_count/self.msg_count)}/msg)"
]
return res
@staticmethod
def analyse_message(
message: MessageLog,
mentions: Dict[str, Counter],
raw_members: List[int],
*,
all_mentions: bool,
) -> bool:
impacted = True
if not message.bot or all_mentions:
for member_id in message.mentions:
if member_id in raw_members:
count = message.content.count(
mention(member_id)
) + message.content.count(alt_mention(member_id))
mentions[mention(message.author)].update_use(
count, message.created_at, member_id
)
return impacted
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from typing import Dict, List
from collections import defaultdict
import discord
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import (
generate_help,
plural,
precise,
mention,
alt_mention,
role_mention,
channel_mention,
)
class MentionsScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"mentions",
"Rank mentions by their usage",
args=[
"<n> - top <n>, default is 10",
"all - show role/channel/everyone/here mentions",
"everyone - include bots mentions",
],
example="10 #mychannel1 #mychannel2 @user",
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all", "everyone"],
help=MentionsScanner.help(),
intro_context="Mention usage",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.top = 10
for arg in args:
if arg.isdigit():
self.top = int(arg)
# check other args
self.all_mentions = "all" in args
# Create mentions dict
self.mentions = defaultdict(Counter)
self.all_messages = "everyone" in args
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return MentionsScanner.analyse_message(
message,
self.mentions,
self.raw_members,
all_mentions=self.all_mentions,
all_messages=self.all_messages,
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.mentions]
names.sort(key=lambda name: self.mentions[name].score(), reverse=True)
names = names[: self.top]
usage_count = Counter.total(self.mentions)
res = [intro]
res += [
self.mentions[name].to_string(
names.index(name),
name,
total_usage=usage_count,
transform=lambda id: f" by {mention(id)}",
top=len(self.members) != 1,
)
for name in names
]
res += [
f"Total: {plural(usage_count,'time')} ({precise(usage_count/self.msg_count)}/msg)"
]
return res
@staticmethod
def analyse_message(
message: MessageLog,
mentions: Dict[str, Counter],
raw_members: List[int],
*,
all_mentions: bool,
all_messages: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
):
impacted = True
for member_id in message.mentions:
name = mention(member_id)
count = message.content.count(name) + message.content.count(
alt_mention(member_id)
)
mentions[name].update_use(count, message.created_at, message.author)
if all_mentions:
for role_id in message.role_mentions:
name = role_mention(role_id)
mentions[name].update_use(
message.content.count(name), message.created_at, message.author
)
for channel_id in message.channel_mentions:
name = channel_mention(channel_id)
mentions[name].update_use(
message.content.count(name), message.created_at, message.author
)
if "@everyone" in message.content:
mentions["@\u200beveryone"].update_use(
message.content.count("@everyone"),
message.created_at,
message.author,
)
if "@here" in message.content:
mentions["@\u200bhere"].update_use(
message.content.count("@here"),
message.created_at,
message.author,
)
return impacted
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from typing import Dict, List
from collections import defaultdict
import discord
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import generate_help, mention, channel_mention
class MessagesScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"msg",
"Rank users by their messages",
args=["<n> - top <n>, default is 10", "all/everyone - include bots"],
example="10 #channel",
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all", "everyone"],
help=MessagesScanner.help(),
intro_context="Messages",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.top = 10
for arg in args:
if arg.isdigit():
self.top = int(arg)
self.all_messages = "all" in args or "everyone" in args
# Create mentions dict
self.messages = defaultdict(Counter)
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return MessagesScanner.analyse_message(
channel.id,
message,
self.messages,
self.raw_members,
all_messages=self.all_messages,
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.messages]
names.sort(key=lambda name: self.messages[name].score(), reverse=True)
names = names[: self.top]
usage_count = Counter.total(self.messages)
res = [intro]
res += [
self.messages[name].to_string(
names.index(name),
mention(name),
total_usage=usage_count,
counted="message",
transform=lambda id: f" in {channel_mention(id)}",
top=self.channels != 1,
)
for name in names
]
return res
@staticmethod
def analyse_message(
channel_id: int,
message: MessageLog,
messages: Dict[str, Counter],
raw_members: List[int],
*,
all_messages: bool,
) -> bool:
impacted = False
if (
len(raw_members) == 0
and (not message.bot or all_messages)
or message.author in raw_members
):
impacted = True
messages[message.author].update_use(1, message.created_at, channel_id)
return impacted
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from typing import List
import discord
# Custom libs
from .scanner import Scanner
from data_types import Presence
from logs import ChannelLogs, MessageLog
from utils import generate_help
class PresenceScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help("pres", "Show presence statistics")
def __init__(self):
super().__init__(
valid_args=["all", "everyone"],
help=PresenceScanner.help(),
intro_context="Presence",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.pres = Presence()
self.member_specific = len(self.members) > 0
self.all_messages = "all" in args or "everyone" in args
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return PresenceScanner.analyse_message(
channel,
message,
self.pres,
self.raw_members,
all_messages=self.all_messages,
)
def get_results(self, intro: str) -> List[str]:
res = [intro]
res += self.pres.to_string(
self.msg_count,
self.total_msg,
chan_count=len(self.channels) if not self.full else None,
show_top_channel=(len(self.channels) > 1),
member_specific=self.member_specific,
)
return res
@staticmethod
def analyse_message(
channel: ChannelLogs,
message: MessageLog,
pres: Presence,
raw_members: List[int],
*,
all_messages: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
):
impacted = True
pres.channel_usage[channel.id] += 1
for mention in message.mentions:
pres.mention_others[mention] += 1
pres.messages[message.author] += 1
pres.channel_total[channel.id] += 1
pres.mention_count[message.author] += len(message.mentions)
if len(raw_members) > 0:
for mention in message.mentions:
if mention in raw_members:
pres.mentions[message.author] += 1
for reaction in message.reactions:
for member_id in message.reactions[reaction]:
pres.used_reaction[member_id] += 1
if member_id in raw_members:
pres.reactions[reaction] += 1
else:
for reaction in message.reactions:
pres.reactions[reaction] += len(message.reactions[reaction])
for member_id in message.reactions[reaction]:
pres.used_reaction[member_id] += 1
return impacted
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from typing import List
# Custom libs
from .history_scanner import HistoryScanner
from utils import generate_help
class RandomScanner(HistoryScanner):
@staticmethod
def help() -> str:
return generate_help(
"rand",
"Read a random message (add text to filter like %find)",
args=[
"image/gif - pull an image instead of a message",
"spoiler:allow/only - allow spoiler images",
],
)
def __init__(self):
super().__init__(help=RandomScanner.help())
async def get_results(self, intro: str) -> List[str]:
if self.images_only:
return await self.history.to_string_image(
type="random", spoiler=self.spoiler, gif_only=self.gif_only
)
else:
return self.history.to_string(type="random")
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from typing import Dict, List
from collections import defaultdict
import discord
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import generate_help, mention, channel_mention
class ReactionsScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"react",
"Rank users by their reactions",
args=["<n> - top <n>, default is 10"],
example="10 #channel",
)
def __init__(self):
super().__init__(
has_digit_args=True,
help=ReactionsScanner.help(),
intro_context="Reactions",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.top = 10
for arg in args:
if arg.isdigit():
self.top = int(arg)
# Create mentions dict
self.messages = defaultdict(Counter)
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return ReactionsScanner.analyse_message(
channel.id,
message,
self.messages,
self.raw_members,
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.messages]
names.sort(key=lambda name: self.messages[name].score(), reverse=True)
names = names[: self.top]
usage_count = Counter.total(self.messages)
res = [intro]
res += [
self.messages[name].to_string(
names.index(name),
mention(name),
total_usage=usage_count,
counted="reaction",
transform=lambda id: f" in {channel_mention(id)}",
top=self.channels != 1,
)
for name in names
]
return res
@staticmethod
def analyse_message(
channel_id: int,
message: MessageLog,
messages: Dict[str, Counter],
raw_members: List[int],
) -> bool:
impacted = True
for reaction in message.reactions:
for member_id in message.reactions[reaction]:
if len(raw_members) == 0 or member_id in raw_members:
messages[member_id].update_use(1, message.created_at, channel_id)
return impacted
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from abc import ABC, abstractmethod
from typing import List
from datetime import datetime
import logging
import re
import discord
import inspect
from utils import (
no_duplicate,
get_intro,
delta,
gdpr,
ISO8601_REGEX,
RELATIVE_REGEX,
parse_time,
command_cache,
FilterLevel,
SPLIT_TOKEN,
)
from logs import (
GuildLogs,
ChannelLogs,
MessageLog,
ALREADY_RUNNING,
CANCELLED,
NO_FILE,
)
class Scanner(ABC):
VALID_ARGS = [
"me",
"here",
"fast",
"fresh",
"mobile",
"mention",
"nsfw",
"nsfw:allow",
"nsfw:only",
]
def __init__(
self,
*,
has_digit_args: bool = False,
valid_args: List[str] = [],
help: str,
intro_context: str,
all_args: bool = False,
):
self.has_digit_args = has_digit_args
self.valid_args = valid_args
self.all_args = all_args
self.help = help
self.intro_context = intro_context
self.other_args = []
self.members = []
self.raw_members = []
self.full = False
self.channels = []
self.msg_count = 0
self.chan_count = 0
async def compute(
self,
client: discord.client,
message: discord.Message,
*args: str,
other_mentions: List[str] = [],
):
args = list(args)
guild = message.guild
progress = None
try:
with GuildLogs(guild) as logs:
# If "%cmd help" redirect to "%help cmd"
if len(args) > 1 and args[1] == "help":
await client.bot.help(client, message, "help", args[0])
return
# check args validity
str_channel_mentions = [
str(channel.id) for channel in message.channel_mentions
]
str_mentions = [str(member.id) for member in message.mentions]
dates = []
for i, arg in enumerate(args[1:]):
skip_check = False
if self.all_args and (
f"'{arg}'" in message.content or f'"{arg}"' in message.content
):
self.other_args += [arg]
elif re.match(r"^<@!?\d+>$", arg):
arg = arg[3:-1] if "!" in arg else arg[2:-1]
elif re.match(r"^<#!?\d+>$", arg):
arg = arg[3:-1] if "!" in arg else arg[2:-1]
elif re.match(ISO8601_REGEX, arg) or re.match(RELATIVE_REGEX, arg):
dates += [parse_time(arg)]
skip_check = True
if len(dates) > 2:
await message.channel.send(
f"Too many date arguments: `{arg}`", reference=message
)
return
if (
arg not in self.valid_args + Scanner.VALID_ARGS
and (not arg.isdigit() or not self.has_digit_args)
and arg not in str_channel_mentions
and arg not in str_mentions
and arg not in other_mentions
and not skip_check
and len(arg) > 0
):
if self.all_args:
self.other_args += [arg]
else:
await message.channel.send(
f"Unrecognized argument: `{arg}`", reference=message
)
return
for arg in self.other_args:
args.remove(arg)
self.start_date = None if len(dates) < 1 else min(dates)
self.stop_date = None if len(dates) < 2 else max(dates)
if self.start_date is not None and self.start_date > datetime.now():
await message.channel.send(
f"Start date is after today", reference=message
)
return
# Get selected channels or all of them if no channel arguments
self.channels = no_duplicate(message.channel_mentions)
# transform the "here" arg
if "here" in args:
self.channels += [message.channel]
self.full = len(self.channels) == 0
if self.full:
self.channels = guild.text_channels
# Get selected members
self.members = no_duplicate(message.mentions)
self.raw_members = no_duplicate(message.raw_mentions)
# transform the "me" arg
if "me" in args:
self.members += [message.author]
self.raw_members += [message.author.id]
self.mention_users = "mention" in args or "mobile" in args
# nsfw filter
if "nsfw" in args or "nsfw:allow" in args:
self.nsfw = FilterLevel.ALLOW
elif "nsfw:only" in args:
self.nsfw = FilterLevel.ONLY
else:
self.nsfw = FilterLevel.NONE
# fix nsfw filter if channel specified
if not self.full and any(channel.nsfw for channel in self.channels):
self.nsfw = FilterLevel.ALLOW
elif all(channel.nsfw for channel in self.channels):
self.nsfw = FilterLevel.ONLY
# filter nsfw channels
if self.nsfw == FilterLevel.NONE:
self.channels = list(
filter(lambda channel: not channel.nsfw, self.channels)
)
elif self.nsfw == FilterLevel.ONLY:
self.channels = list(
filter(lambda channel: channel.nsfw, self.channels)
)
if not await self.init(message, *args):
return
# Start computing data
async with message.channel.typing():
progress = await message.channel.send(
"```Starting analysis...```",
reference=message,
allowed_mentions=discord.AllowedMentions.none(),
)
total_msg, total_chan = await logs.load(
progress,
self.channels,
self.start_date,
self.stop_date,
fast="fast" in args,
fresh="fresh" in args,
)
if total_msg == CANCELLED:
await message.channel.send(
"Operation cancelled by user",
reference=message,
)
elif total_msg == ALREADY_RUNNING:
await message.channel.send(
"An analysis is already running on this server, please be patient.",
reference=message,
)
elif total_msg == NO_FILE:
await message.channel.send(gdpr.TEXT)
else:
if self.start_date is not None and len(logs.channels) > 0:
self.start_date = max(
self.start_date,
min(
[
logs.channels[channel.id].start_date
for channel in self.channels
if channel.id in logs.channels
and logs.channels[channel.id].start_date
is not None
]
),
)
if self.stop_date is None:
self.stop_date = datetime.utcnow()
self.msg_count = 0
self.total_msg = 0
self.chan_count = 0
t0 = datetime.now()
for channel in self.channels:
if channel.id in logs.channels:
channel_logs = logs.channels[channel.id]
count = sum(
[
self.compute_message(channel_logs, message_log)
for message_log in channel_logs.messages
if (
self.start_date is None
or message_log.created_at >= self.start_date
)
and (
self.stop_date is None
or message_log.created_at <= self.stop_date
)
]
)
self.total_msg += len(channel_logs.messages)
self.msg_count += count
self.chan_count += 1 if count > 0 else 0
logging.info(f"scan {guild.id} > scanned in {delta(t0):,}ms")
if self.msg_count == 0:
await message.channel.send(
"There are no messages found matching the filters",
reference=message,
)
else:
await progress.edit(content="```Computing results...```")
# Display results
t0 = datetime.now()
intro = get_intro(
self.intro_context,
self.full,
self.channels,
self.members,
self.msg_count,
self.chan_count,
self.start_date,
self.stop_date,
)
if inspect.iscoroutinefunction(self.get_results):
results = await self.get_results(intro)
else:
results = self.get_results(intro)
logging.info(
f"scan {guild.id} > results in {delta(t0):,}ms"
)
response = ""
first = True
allowed_mentions = (
discord.AllowedMentions.all()
if self.mention_users
else discord.AllowedMentions.none()
)
file = None
for r in results:
if r:
if isinstance(r, discord.File):
file = r
elif isinstance(r, int) and r == SPLIT_TOKEN:
await message.channel.send(
response,
reference=message if first else None,
allowed_mentions=allowed_mentions,
file=file,
)
first = False
file = None
response = ""
elif isinstance(r, str):
if len(response + "\n" + r) > 2000:
await message.channel.send(
response,
reference=message if first else None,
allowed_mentions=allowed_mentions,
file=file,
)
first = False
file = None
response = ""
response += "\n" + r
if len(response) > 0 or file is not None:
await message.channel.send(
response,
reference=message if first else None,
allowed_mentions=allowed_mentions,
file=file,
)
command_cache.cache(self, message, args)
# Delete custom progress message
await progress.delete()
except Exception as error:
logging.exception(error)
await message.channel.send(
"An unexpected error happened while computing your command, we're sorry for the inconvenience.",
reference=message,
)
if progress is not None:
await progress.delete()
@abstractmethod
async def init(self, message: discord.Message, *args: str) -> bool:
pass
@abstractmethod
def compute_message(self, channel: ChannelLogs, message: MessageLog) -> bool:
pass
@abstractmethod
def get_results(self, intro: str) -> List[str]:
pass
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from typing import Dict, List
from collections import defaultdict
import discord
import re
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import generate_help, plural, precise, mention
class WordsScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"words",
"(BETA) Rank words by their usage",
args=[
"<n> - words containings <n> or more letters, default is 3",
"<n2> - top <n2> words, default is 10",
"all/everyone - include bots",
],
example="5 10 #mychannel1 #mychannel2 @user",
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all", "everyone"],
help=WordsScanner.help(),
intro_context="Words ({}+ letters)",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.letters = None
self.top = None
for arg in args:
if arg.isdigit():
if self.letters is None:
self.letters = int(arg)
elif self.top is None:
self.top = int(arg)
if self.letters is None:
self.letters = 3
if self.top is None:
self.top = 10
self.words = defaultdict(Counter)
self.all_messages = "all" in args or "everyone" in args
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return WordsScanner.analyse_message(
message,
self.words,
self.raw_members,
all_messages=self.all_messages,
letters_threshold=self.letters,
)
def get_results(self, intro: str) -> List[str]:
words = [word for word in self.words]
words.sort(key=lambda word: self.words[word].score(), reverse=True)
words = words[: self.top]
usage_count = Counter.total(self.words)
res = [intro.format(self.letters)]
res += [
self.words[word].to_string(
words.index(word),
f"`{word}`",
total_usage=usage_count,
transform=lambda id: f" by {mention(id)}",
top=len(self.members) != 1,
)
for word in words
]
res += [
f"Total: {plural(usage_count,'time')} ({precise(usage_count/self.msg_count)}/msg)"
]
return res
special_cases = ["'s", "s"]
@staticmethod
def analyse_message(
message: MessageLog,
words: Dict[str, Counter],
raw_members: List[int],
*,
all_messages: bool,
letters_threshold: int,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if (
(not message.bot or all_messages)
and len(raw_members) == 0
or message.author in raw_members
):
impacted = True
content = message.content
content = re.sub(r"```.+```", "", content, flags=re.DOTALL)
content = re.sub(r"`.+`", "", content, flags=re.DOTALL)
content = re.sub(r"\w+:\/\/[^ ]+", "", content)
for word in re.split("[^\w\-':]", content):
m = re.match(
r"(?!^:\w+:$)^[^\w]*((?![\d_])\w[\w\-']*(?![\d_])\w)[^\w]*$", word
)
if m:
word = m[1].lower()
if len(word) >= letters_threshold:
for case in WordsScanner.special_cases:
if word.endswith(case) and word[: -len(case)] in words:
word = word[: -len(case)]
break
if word + case in words:
words[word] = words[word + case]
del words[word + case]
break
words[word].update_use(1, message.created_at, message.author)
return impacted
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from .utils import *
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from typing import List
import logging
import discord
from scanners import Scanner
command_cache = {}
def cache(scanner: Scanner, message: discord.Message, args: List[str]):
id = message.channel.id
command_cache[id] = (
type(scanner),
list(args),
[str(channel.id) for channel in message.channel_mentions]
+ [str(member.id) for member in message.mentions],
)
async def repeat(
client: discord.client,
message: discord.Message,
*args: str,
add_args: List[str] = [],
):
if len(args) > 1 and args[1] == "help":
await client.bot.help(client, message, "help", args[0])
return
id = message.channel.id
if id not in command_cache:
await message.channel.send(
"No command to repeat on this channel (type %help for more info)",
reference=message,
)
return
(
scannerType,
original_args,
original_mentions,
) = command_cache[id]
args = original_args + add_args + list(args[1:]) + ["fast"]
logging.info(f"repeating {args}")
await scannerType().compute(
client, message, *args, other_mentions=original_mentions
)
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import re
import json
import logging
from . import get_resource_path
EXTRA_EMOJI = {
"thumbup": "1f44d",
"thumbdown": "1f44e",
"timer": "23f2-fe0f",
"cowboy": "1f920",
"clown": "1f921",
"newspaper2": "1f5de-fe0f",
"french_bread": "1f956",
"nerd": "1f913",
"zipper_mouth": "1f910",
"salad": "1f957",
"rolling_eyes": "1f644",
"basketball_player": "26f9-fe0f-200d-2642-fe0f",
"thinking": "1f914",
"e_mail": "2709-fe0f",
"slight_frown": "1f641",
"skull_crossbones": "2620-fe0f",
"hand_splayed": "1f590-fe0f",
"speaking_head": "1f5e3-fe0f",
"cross": "271d-fe0f",
"crayon": "1f58d-fe0f",
"head_bandage": "1f915",
"rofl": "1f923",
"flag_white": "1f3f3-fe0f",
"slight_smile": "1f642",
"fork_knife_plate": "1f37d-fe0f",
"robot": "1f916",
"hugging": "1f917",
"biohazard": "2623-fe0f",
"notepad_spiral": "1f5d2-fe0f",
"lifter": "1f3cb-fe0f-200d-2642-fe0f",
"race_car": "1f3ce-fe0f",
"left_facing_fist": "1f91b",
"right_facing_fist": "1f91c",
"tools": "1f6e0-fe0f",
"umbrella2": "2602-fe0f",
"upside_down": "2b07-fe0f",
"first_place": "1f947",
"dagger": "1f5e1-fe0f",
"fox": "1f98a",
"menorah": "1f54e",
"desktop": "1f5a5-fe0f",
"motorcycle": "1f3cd-fe0f",
"levitate": "1f574-fe0f",
"cheese": "1f9c0",
"fingers_crossed": "1f91e",
"frowning2": "1f626",
"microphone2": "1f399-fe0f",
"flag_black": "1f3f4",
"chair": "1FA91",
"champagne_glass": "1F942",
"raised_hand": "270B",
"knife": "1F52A",
"postal_horn": "1F4EF",
"punch": "1F44A",
}
global_list = {}
unicode_list = []
regex = re.compile("(<a?:[\\w\\-\\~]+:\\d+>|:[\\w\\-\\~]+:)")
def load_emojis():
global global_list, unicode_list, regex
emoji_list = []
with open(get_resource_path("emoji.json"), mode="r") as f:
emoji_list = json.loads(f.readline().strip())
for emoji in EXTRA_EMOJI:
emoji_list += [{"short_name": emoji, "unified": EXTRA_EMOJI[emoji]}]
unicode_list_escaped = []
for emoji in emoji_list:
shortname = emoji["short_name"]
unified = emoji["unified"]
if unified is not None and shortname is not None:
unicode_escaped = "".join([f"\\U{c:0>8}" for c in unified.split("-")])
unicode = bytes(unicode_escaped, "ascii").decode("unicode-escape")
shortcode = shortname.replace("-", "_")
global_list[unicode] = f":{shortcode}:"
unicode_list += [unicode]
unicode_list_escaped += [unicode_escaped]
regex = re.compile(f"(<a?:\\w+:\\d+>|:\\w+:|{'|'.join(unicode_list_escaped)})")
logging.info(f"loaded {len(unicode_list)} emojis")
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import discord
from logs import GuildLogs
HELP = """```
%gdpr: Displays GDPR information
arguments:
* agree - agree to GDPR
* revoke - remove this server's data
```"""
TEXT = """
__**About Analyst-bot's data usage**__
**TL;DR**
Analyst-bot collects text message information. It does not share collected data with any third-party and data is retained 18 months or until the bot is leaving the guild/server.
**Data collection**
Analyst-bot collects a Discord guild/server's history when asked to.
This includes:
- Visible text channel names
- Visible text messages: date and time of creation and edition, author, content, reactions and other available metadata (pinned, tts, etc.)
This does __not__ includes:
- Voice channels and not visible channels
- Not visible text messages
- Visible text messages' embedded content, images and other attachments
**Data processing**
Any data collected is only processed in order to produce a one-time report sent to the user immediately. No temporary data are retained.
**Data storage and retain policy**
Analyst-bot stores the collected data in files that are accessible by the software and its administrator only.
Any collected data are retained maximum 18 months until deletion or when the bot is leaving a guild/server.
**Data sharing**
Analyst-bot does not share the data collected with any third-party.
**Right to retract**
If you want to have your data removed, you can use the `%gdpr revoke` command or remove this bot from your guild/server.
**Terms agreement**
By agreeing to these terms, you ensure having the legal age if you are in a country that does have one and you also ensure having the consent of every member involved.
*If you want more information, please contact the creator of this bot: <https://github.com/Klemek/discord-analyst>.*
Type `%gdpr agree` to agree to these terms, `%gdpr revoke` to remove this guild/server's collected data or `%gdpr` to see this message again.
"""
AGREE_TEXT = "Thanks for agreeing for these terms, you can now run analysis on this guild/server."
REVOKE_TEXT = "This guild/server's data has been deleted. To run new analysis you must agree to the terms again."
async def process(client: discord.client, message: discord.Message, *args: str):
args = list(args)
if len(args) == 1:
await message.channel.send(TEXT)
elif args[1] == "help":
await client.bot.help(client, message, "help", args[0])
elif len(args) > 2:
await message.channel.send(f"Too many arguments", reference=message)
elif args[1] in ["agree", "accept"]:
GuildLogs.init_log(message.channel.guild)
await message.channel.send(AGREE_TEXT, reference=message)
elif args[1] in ["revoke", "cancel", "remove", "delete"]:
GuildLogs.remove_log(message.channel.guild)
await message.channel.send(REVOKE_TEXT, reference=message)
else:
await message.channel.send(
f"Unrecognized argument: `{args[1]}`", reference=message
)
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from enum import IntEnum
from typing import Callable, List, Dict, Union, Optional, Any
import os
import logging
import discord
import math
from datetime import datetime, timedelta
import re
import time
import dateutil.parser
from dateutil.relativedelta import relativedelta
# OTHER
COMMON_HELP_ARGS = [
"@member/me - filter for one or more member",
"#channel/here - filter for one or more channel",
"<date1> - filter after <date1>",
"<date2> - filter before <date2>",
"fast - only read cache",
"fresh - does not read cache (long)",
"nsfw:allow/only - allow messages from nsfw channels",
"mobile/mention - mentions users (fix @invalid-user bug)",
]
def generate_help(
cmd: str,
info: str,
*,
args=["all/everyone - include bots"],
example="#mychannel1 @user",
replace_args=[],
):
arg_list = "* " + "\n* ".join(
args + replace_args + COMMON_HELP_ARGS[len(replace_args) :]
)
return f"""```
%{cmd}: {info}
arguments:
{arg_list}
(Sample dates: 2020 / 2021-11 / 2021-06-28 / 2020-06-28T23:00 / today / week / 8days / 1y)
Example: %{cmd} {example}
```"""
def delta(t0: datetime):
return round((datetime.now() - t0).total_seconds() * 1000)
def deltas(t0: datetime):
return (datetime.now() - t0).total_seconds()
class FilterLevel(IntEnum):
NONE = 0
ALLOW = 1
ONLY = 2
SPLIT_TOKEN = 1152317803
# FILE
IMAGE_FORMAT = [".png", ".jpg", ".jpeg", ".bmp"]
EMBED_IMAGES = ["image"]
GIF_FORMAT = [".gif", ".gifv"]
EMBED_GIF = ["gifv"]
def is_extension(filepath: str, ext_list: List[str]) -> bool:
filename, file_extension = os.path.splitext(filepath.lower())
return file_extension in ext_list
def get_resource_path(filename: str) -> str:
return os.path.realpath(
os.path.join(os.path.dirname(__file__), "..", "resources", filename)
)
# DISCORD API
def debug(message: discord.Message, txt: str):
logging.info(f"{message.guild} > #{message.channel}: {txt}")
async def code_message(message: discord.Message, content: str):
await message.edit(content=f"```\n{content}\n```")
def mention(member_id: int) -> str:
return f"<@{member_id}>"
def alt_mention(member_id: int) -> str:
return f"<@!{member_id}>"
def role_mention(role_id: int) -> str:
return f"<@&{role_id}>"
def channel_mention(channel_id: int) -> str:
return f"<#{channel_id}>"
def message_link(message: discord.Message) -> str:
return f"https://discord.com/channels/{message.channel.guild.id}/{message.channel.id}/{message.id}"
def escape_text(text: str) -> str:
return discord.utils.escape_markdown(discord.utils.escape_mentions(text))
class FakeMessage:
def __init__(self, id: int):
self.id = id
def has_image(message: discord.Message) -> bool:
for attachment in message.attachments:
if is_extension(attachment.filename, GIF_FORMAT + IMAGE_FORMAT):
return True
for embed in message.embeds:
if embed.type in (EMBED_IMAGES + EMBED_GIF):
return True
return False
def is_image_spoiler(message: discord.Message) -> bool:
if len(message.attachments) > 0:
return message.attachments[0].is_spoiler()
elif len(message.embeds) > 0:
return re.match(r"\|\|[^|]*http[^|]\|\|", message.content.lower()) is not None
else:
return False
def is_image_gif(message: discord.Message) -> bool:
if len(message.attachments) > 0:
return is_extension(message.attachments[0].filename, GIF_FORMAT)
elif len(message.embeds) > 0:
return message.embeds[0].type in EMBED_GIF
else:
return False
def should_allow_spoiler(message: discord.Message, spoiler: FilterLevel) -> bool:
is_spoiler = is_image_spoiler(message)
return (
not is_spoiler
and spoiler <= FilterLevel.ONLY
or is_spoiler
and spoiler >= FilterLevel.ALLOW
)
# LISTS
def no_duplicate(seq: list) -> list:
"""
Remove any duplicates on a list
:param seq: original list
:type seq: list
:return: same list with no duplicates
:rtype: list
"""
return list(dict.fromkeys(seq))
# DICTS
def top_key(
d: Dict[Union[str, int], int], key: Optional[Callable] = None, reverse: bool = False
) -> Union[str, int]:
if len(d) == 0:
return None
if key is None:
key = lambda k: d[k]
return sorted(d, key=key, reverse=reverse)[-1]
def val_sum(d: Dict[Any, int]) -> int:
if len(d) == 0:
return 0
return sum(d.values())
def serialize(
obj: Any, *, not_serialized: List[str] = [], dates: List[str] = []
) -> Dict:
output = dict(obj.__dict__)
for key in not_serialized:
output.pop(key, None)
for key in dates:
if output[key]:
try:
output[key] = getattr(obj, key).isoformat()
except AttributeError:
pass
return output
# MESSAGE FORMATTING
def aggregate(names: List[str]) -> str:
"""
Aggregate names with , and &
Example : "a, b, c & d"
"""
if len(names) == 0:
return ""
elif len(names) == 1:
return names[0]
else:
return ", ".join(names[:-1]) + " & " + names[-1]
def plural(count: int, word: str) -> str:
return f"{count:,} {word}{'s' if count != 1 else ''}"
def percent(p: float) -> str:
return f"{precise(100*p)}%"
def precise(p: float, *, precision: int = 2) -> str:
if p == 0:
return "0"
precision = abs(min(0, math.ceil(math.log10(p)) - precision))
s = "{:." + str(precision) + "f}"
return s.format(p)
# DATE FORMATTING
ISO8601_REGEX = r"^([\+-]?\d{4}(?!\d{2}\b))((-?)((0[1-9]|1[0-2])(\3([12]\d|0[1-9]|3[01]))?|W([0-4]\d|5[0-2])(-?[1-7])?|(00[1-9]|0[1-9]\d|[12]\d{2}|3([0-5]\d|6[1-6])))([T\s]((([01]\d|2[0-3])((:?)[0-5]\d)?|24\:?00)([\.,]\d+(?!:))?)?(\17[0-5]\d([\.,]\d+)?)?([zZ]|([\+-])([01]\d|2[0-3]):?([0-5]\d)?)?)?)?$"
ISO8601_FULL = "0000-01-01T00:00:00"
def parse_iso_datetime(str_date: str) -> datetime:
if re.match(
"^\d{4}(-\d{2}(-\d{2}(T\d{2}(:\d{2}(:\d{2}(:\d{2})?)?)?)?)?)?$", str_date
):
str_date = str_date + "0000-01-01T00:00:00"[len(str_date) :]
return dateutil.parser.parse(str_date)
RELATIVE_REGEX = r"(yesterday|today|\d*hours?|\d+h(ours?)?|\d*days?|\d+d(ays?)?|\d*weeks?|\d+w(eeks?)?|\d*months?|\d+m(onths?)?|\d*years?|\d+y(ears?)?)"
def parse_relative_time(src: str) -> datetime:
today = datetime.utcnow().date()
today = datetime(today.year, today.month, today.day)
if src == "today":
return today
elif src == "yesterday":
return today - relativedelta(days=1)
else:
m = re.match("(\d*)(\w+)", src)
delta = None
value = int(m[1]) if m[1] else 1
unit = m[2][0]
if unit == "h":
delta = relativedelta(hours=value)
elif unit == "d":
delta = relativedelta(days=value)
elif unit == "w":
delta = relativedelta(weeks=value)
elif unit == "m":
delta = relativedelta(months=value)
elif unit == "y":
delta = relativedelta(years=value)
return datetime.utcnow() - delta
def parse_time(src: str) -> datetime:
if re.match(RELATIVE_REGEX, src):
return parse_relative_time(src)
else:
return parse_iso_datetime(src)
def str_date(date: datetime) -> str:
return f"<t:{int(time.mktime(date.timetuple()))}:D>"
def str_datetime(date: datetime) -> str:
return f"<t:{int(time.mktime(date.timetuple()))}:f>"
def str_delta(delay: timedelta) -> str:
seconds = delay.seconds
minutes = seconds // 60
hours = minutes // 60
if delay.days < 1:
if hours < 1:
if minutes == 0:
return "no time"
elif minutes == 1:
return "a minute"
else:
return f"{minutes} minutes"
elif hours == 1:
return "an hour"
else:
return f"{hours} hours"
elif delay.days == 1:
return "one day"
else:
return f"{delay.days:,} days"
def from_now(src: Optional[datetime]) -> str:
if src is None:
return "never"
return f"<t:{int(time.mktime(src.timetuple()))}:R>"
# APP SPECIFIC
def get_intro(
subject: str,
full: bool,
channels: List[discord.TextChannel],
members: List[discord.Member],
nmm: int, # number of messages impacted
nc: int, # number of impacted channels
start_datetime: datetime,
stop_datetime: datetime,
) -> str:
"""
Get the introduction sentence of the response
"""
time_text = ""
if start_datetime is not None:
stop_datetime = datetime.now() if stop_datetime is None else stop_datetime
time_text = f" (in {str_delta(stop_datetime - start_datetime)})"
# Show all data (members, channels) when it's less than 5 units
if len(members) == 0:
# Full scan of the server
if full:
return f"{subject} in this server ({nc} channels, {nmm:,} messages){time_text}:"
elif len(channels) < 5:
return f"{aggregate([c.mention for c in channels])} {subject.lower()} in {nmm:,} messages{time_text}:"
else:
return f"These {len(channels)} channels {subject.lower()} in {nmm:,} messages{time_text}:"
elif len(members) < 5:
if full:
return f"{aggregate([m.mention for m in members])} {subject.lower()} in {nmm:,} messages{time_text}:"
elif len(channels) < 5:
return (
f"{aggregate([m.mention for m in members])} on {aggregate([c.mention for c in channels])} "
f"{subject.lower()} in {nmm:,} messages{time_text}:"
)
else:
return (
f"{aggregate([m.mention for m in members])} on these {len(channels)} channels "
f"{subject.lower()} in {nmm:,} messages{time_text}:"
)
else:
if full:
return f"These {len(members)} members {subject.lower()} in {nmm:,} messages{time_text}:"
elif len(channels) < 5:
return (
f"These {len(members)} members on {aggregate([c.mention for c in channels])} "
f"{subject.lower()} in {nmm:,} messages{time_text}:"
)
else:
return (
f"These {len(members)} members on these {len(channels)} channels "
f"{subject.lower()} in {nmm:,} messages{time_text}:"
)
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pytest~=6.2.3
pytest-cov
coveralls
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from unittest import TestCase
from unittest.mock import MagicMock
from src.scanners import FirstScanner
from datetime import datetime, timedelta
from tests.utils import AsyncTestCase, fake_message
class TestFirstScanner(AsyncTestCase):
def test_help(self):
self.assertGreater(len(FirstScanner.help()), 0)
self.assertIn("%first", FirstScanner.help())
def test_empty_no_messages(self):
scanner = FirstScanner()
command_msg = MagicMock()
self._await(scanner.init(command_msg, []))
results = self._await(scanner.get_results(""))
self.assertListEqual(["There was no messages matching your filters"], results)
def test_empty_filtered(self):
scanner = FirstScanner()
scanner.raw_members = [1]
self._await(scanner.init(fake_message(), []))
messages = [fake_message(author=2), fake_message(author=3)]
for msg in messages:
scanner.compute_message(msg.channel, msg)
results = self._await(scanner.get_results(""))
self.assertListEqual(["There was no messages matching your filters"], results)
def test_normal(self):
scanner = FirstScanner()
self._await(scanner.init(fake_message(), []))
messages = [
fake_message(id=1, created_at=timedelta(days=-2)),
fake_message(id=2, created_at=timedelta(days=-3)),
fake_message(id=3, created_at=timedelta(days=-1)),
]
for msg in messages:
scanner.compute_message(msg.channel, msg)
results = self._await(scanner.get_results(""))
expected = messages[1]
self.assertListEqual(
[
"First message out of 3",
f"{expected.created_at.strftime('%H:%M, %d %b. %Y')} (2 days ago) <@1> said:",
f"> {expected.content}",
"<https://discord.com/channels/1/1/2>",
],
results,
)
def test_filtered(self):
scanner = FirstScanner()
scanner.raw_members = [1]
self._await(scanner.init(fake_message(), []))
messages = [
fake_message(id=1, author=1, created_at=timedelta(days=-2)),
fake_message(id=2, author=2, created_at=timedelta(days=-3)),
fake_message(id=3, author=1, created_at=timedelta(days=-1)),
]
for msg in messages:
scanner.compute_message(msg.channel, msg)
results = self._await(scanner.get_results(""))
expected = messages[0]
self.assertListEqual(
[
"First message out of 2",
f"{expected.created_at.strftime('%H:%M, %d %b. %Y')} (yesterday) <@1> said:",
f"> {expected.content}",
"<https://discord.com/channels/1/1/1>",
],
results,
)
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from typing import List, Optional, Dict, Union
from unittest import TestCase
import asyncio
from datetime import datetime, timedelta
from unittest.mock import MagicMock
import random
import string
class AsyncTestCase(TestCase):
def setUp(self):
self.loop = asyncio.new_event_loop()
asyncio.set_event_loop(None)
def tearDown(self):
self.loop.close()
def _await(self, fn):
return self.loop.run_until_complete(fn)
RANDOM_TEXT_CHARS = string.ascii_letters + string.digits + string.punctuation
def random_text(min_len: int = 3, max_len: int = 45):
return "".join(
random.choice(RANDOM_TEXT_CHARS)
for _ in range(random.randrange(min_len, max_len))
)
def fake_guild(id: int = 1):
return MagicMock(id=id)
def fake_channel(id: int = 1, name: str = "fake-channel"):
return MagicMock(id=id, name=name, guild=fake_guild())
def fake_message(
id: int = 1,
channel_id: int = 1,
channel_name: str = "fake-channel",
created_at: Optional[Union[datetime, timedelta]] = None,
edited_at: Optional[datetime] = None,
author: int = 1,
pinned: bool = False,
mention_everyone: bool = False,
tts: bool = False,
bot: bool = False,
content: Optional[str] = None,
mentions: Optional[List[int]] = None,
reference: Optional[int] = None,
role_mentions: Optional[List[int]] = None,
channel_mentions: Optional[List[int]] = None,
image: bool = False,
attachment: bool = False,
embed: bool = False,
reactions: Optional[Dict[str, List[int]]] = None,
):
if created_at is None:
created_at = datetime.now() + timedelta(hours=random.randrange(-30 * 24, 0))
elif isinstance(created_at, timedelta):
created_at = datetime.now() + created_at
if isinstance(edited_at, timedelta):
edited_at = datetime.now() + edited_at
if content is None:
content = random_text()
if mentions is None:
mentions = []
if role_mentions is None:
role_mentions = []
if channel_mentions is None:
channel_mentions = []
if reactions is None:
reactions = {}
return MagicMock(
id=id,
channel=fake_channel(channel_id, channel_name),
created_at=created_at,
edited_at=edited_at,
author=author,
pinned=pinned,
mention_everyone=mention_everyone,
tts=tts,
bot=bot,
content=content,
mentions=mentions,
raw_mentions=mentions,
reference=reference,
role_mentions=role_mentions,
raw_role_mentions=role_mentions,
channel_mentions=channel_mentions,
raw_channel_mentions=channel_mentions,
image=image,
attachment=attachment,
embed=embed,
reactions=reactions,
)
-41
View File
@@ -1,41 +0,0 @@
from typing import List
import logging
import discord
# DISCORD API
def debug(message: discord.Message, txt: str):
logging.info(f"{message.guild} > #{message.channel}: {txt}")
# LISTS
def no_duplicate(seq: list) -> list:
"""
Remove any duplicates on a list
:param seq: original list
:type seq: list
:return: same list with no duplicates
:rtype: list
"""
return list(dict.fromkeys(seq))
# MESSAGE FORMATTING
def aggregate(names: List[str]) -> str:
"""
Aggregate names with , and &
Example : "a, b, c & d"
"""
if len(names) == 0:
return ""
elif len(names) == 1:
return names[0]
else:
return ", ".join(names[:-1]) + " & " + names[-1]