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Author SHA1 Message Date
root 2835f618aa feat(api): rebook reviews into a 30-day interview sprint after the break
Review 4 closes out today (Nov 2); Reviews 7-20 move to Mon/Tue/Thu/Fri from
Fri Nov 6 to Tue Dec 1 (Thanksgiving unbooked), then two sweep days and a
gate: [] Saturday that makes Dec 5 day 30. The digest counts the sprint
(SPRINT_START, length derived from the plan's end) and counts down before it.
REVIEW_CAP 3 -> 5 so the ~110-review backlog drains inside the sprint.
2026-11-02 12:56:55 -05:00
root 7249da8bd6 fix(cli): move LeetCode fetches to GraphQL and restore history from the profile
LeetCode's REST /api/* endpoints now answer a Cloudflare 403 to non-browser
clients, which broke the picker's problem index on an empty cache. The index
and descriptions now come from /graphql, and test/submit fold the signed-in
profile's submission history into the solutions table once a day, so a lost
db or a fresh clone recovers both orderings.
2026-11-02 12:56:51 -05:00
Prad Nukala 83cb284e87 docs(agents): fix bullet formatting for sync script entry 2026-10-14 16:03:38 -04:00
Prad Nukala f33ded37ec docs(appendix): unify terms and companies entries, add LeetCode links, refine description and navigation rendering 2026-10-14 16:03:07 -04:00
Prad Nukala ddf5dc483c docs(agents): document companies field in sync script 2026-10-14 15:52:26 -04:00
Prad Nukala e3d915513d feat(work): add Partition List solution stub 2026-10-14 15:52:06 -04:00
Prad Nukala f6c580b14b docs: add companies frontmatter, schema, and rendering in badges & appendix pages 2026-10-14 15:52:02 -04:00
Prad Nukala c753937852 feat(cli): add company frequency frontmatter to docs sync 2026-10-14 15:51:56 -04:00
Prad Nukala 8e07899157 docs(cli): clarify test and submit command behavior for uncommitted changes 2026-10-14 11:04:22 -04:00
Prad Nukala 886024c4f0 feat(work): implement reorder list solution for problem 143 2026-10-14 11:04:19 -04:00
Prad Nukala 37a2d39269 docs(docs): add 143 Reorder List documentation 2026-10-14 11:04:16 -04:00
Prad Nukala a7ab989d57 feat(cli): prioritize uncommitted solutions in picker ordering 2026-10-14 11:04:13 -04:00
Prad Nukala 0ccd9794f0 docs(docs): delete Reorder List documentation 2026-10-14 10:48:34 -04:00
Prad Nukala b922205bd0 feat(work): add Reorder List solution 2026-10-14 10:47:47 -04:00
Prad Nukala def494d524 docs(docs): add Reorder List page, rename phase titles, update redirects 2026-10-14 10:47:44 -04:00
Prad Nukala 0a4b8d8b49 feat(work): add LeetCode solutions for problems 380, 82, 92 2026-10-13 16:51:41 -04:00
Prad Nukala f1a952f2bd docs: add new problem documentation pages and update redirects 2026-10-13 16:51:38 -04:00
Prad Nukala ea44a99c40 feat(work): add solution for LeetCode 36 Valid Sudoku 2026-10-13 15:34:15 -04:00
Prad Nukala 00fa322a14 feat(work): add solution for LeetCode 19 Remove Nth Node From End of List 2026-10-13 15:14:50 -04:00
Prad Nukala bf56e170a4 chore: remove sd 2026-10-13 14:29:10 -04:00
Prad Nukala 4cf976f683 feat(work): add solution for LeetCode 876 Middle of the Linked List 2026-10-13 14:25:36 -04:00
Prad Nukala ace1944786 docs: clarify /progress page header tab and fix apps/docs table formatting 2026-10-13 09:16:41 -04:00
Prad Nukala 13734e2e27 docs: add /progress page with live stats cards and update navigation and component imports 2026-10-13 09:16:30 -04:00
Prad Nukala cb4a03b6fa feat: integrate system design 2026-10-07 14:18:14 -04:00
Prad Nukala e14432d32a docs(docs): improve system design guide and simplify custom page tabs 2026-10-07 14:17:38 -04:00
Prad Nukala 8843cb776c docs(AGENTS): fix apps/docs table row formatting 2026-10-07 13:45:26 -04:00
Prad Nukala 0e58b63d4d docs(docs): add header tabs for Changelog and Appendix pages 2026-10-07 13:45:21 -04:00
Prad Nukala b5c3f1a159 docs(readme): fix formatting of apps/docs entry in AGENTS.md 2026-10-07 13:00:01 -04:00
Prad Nukala 37d3d9ceaf feat(work): add Minimum Window Substring & Basic Calculator solutions and implement StockSpanner algorithm 2026-10-07 12:59:02 -04:00
Prad Nukala 5627d0ca64 docs(docs): add new problem documentation pages and source selector component 2026-10-07 12:58:59 -04:00
Prad Nukala 598688977a feat(work): add 901 online stock span solution and implement removeDuplicates algorithm 2026-10-06 13:47:23 -04:00
Prad Nukala a3e846c606 docs(docs): add documentation for Next Greater Element I and Remove Duplicates from Sorted Array II, update redirects 2026-10-06 13:47:20 -04:00
Prad Nukala 52d9654ade feat(array): add solution for problem 80 remove duplicates from sorted array ii 2026-10-06 13:16:50 -04:00
Prad Nukala f202c3a0a1 docs(docs): add two‑pointer guide with decision tree and illustrations 2026-10-06 13:16:45 -04:00
Prad Nukala 030887c7df docs(docs): add detailed stack overview with operation examples and SVG illustrations 2026-10-06 12:58:52 -04:00
Prad Nukala 733c71d364 feat(work): add solution for Next Greater Element I 2026-10-06 12:53:56 -04:00
Prad Nukala 115b901fbe docs(docs): add YouTube video and detailed monotonic stack explanation with Python example 2026-10-06 12:53:26 -04:00
Prad Nukala ceaa9a2e75 feat(work): implement binary search solution for median of two sorted arrays 2026-10-05 15:47:05 -04:00
Prad Nukala 7c7019ec0c docs: restructure problem paths, change section display to groups, and improve documentation content 2026-10-05 15:47:02 -04:00
Prad Nukala cd5f416939 style(cli): reformat sync script for readability and consistency 2026-10-05 15:46:55 -04:00
Prad Nukala 6247915ae5 feat: refactored docs structure 2026-10-05 14:22:28 -04:00
Prad Nukala 31a1fcfdbd docs(docs): add MDX pages for Median of Two Sorted Arrays and Largest Rectangle in Histogram and update site redirects 2026-10-05 14:01:30 -04:00
Prad Nukala 66affbe128 feat(work): implement largestRectangleArea solution and fix formatting 2026-10-05 14:01:18 -04:00
Prad Nukala 9de25fecff feat: refactored docs structure 2026-10-05 13:53:14 -04:00
Prad Nukala d388b3000e feat(work): add new LeetCode solutions for median, largest rectangle, and simplify path 2026-10-05 13:51:47 -04:00
Prad Nukala f14dcf2723 docs(skills): update paths to docs directory in problem-approach skill 2026-10-05 13:51:38 -04:00
Prad Nukala d171fe1565 chore(config): remove obsolete docs scripts and .gitignore entries 2026-10-05 13:51:17 -04:00
Prad Nukala e9d40020f4 refactor(cli): generate docs/site.json manifest and update docs site references 2026-10-05 13:51:14 -04:00
Prad Nukala 0b004fcba2 ci(deploy): remove Pages build steps and limit permissions to worker deployment 2026-10-05 13:51:10 -04:00
Prad Nukala 33022c806d docs(docs): update problem page paths to use (problems)/<num>_<slug>.mdx format and adjust related examples 2026-10-05 13:12:48 -04:00
Prad Nukala d59b9dccd9 feat(work): add Find Peak Element solution (162) in Python 2026-10-05 13:08:59 -04:00
Prad Nukala 17c691c481 docs(redirects): add new redirects for problems 128, 162, and 643 2026-10-05 13:08:51 -04:00
Prad Nukala ea62cda955 feat(content): add new problem pages, reorganize docs into (problems) subfolders, and update meta display to page 2026-10-05 13:07:56 -04:00
Prad Nukala 74939c31d7 refactor(cli): adjust sync for (problems) group and page display meta 2026-10-05 13:07:52 -04:00
Prad Nukala 0d5c40ac4a style(docs): remove leading hyphens from AGENTS.md table rows 2026-10-05 12:34:59 -04:00
Prad Nukala 4a1838ab28 feat(work): add sliding window solution for maximum average subarray and implement longest consecutive sequence 2026-10-05 12:34:54 -04:00
Prad Nukala c2a375fffc feat(docs): add Appendix glossary and page for undocumented tags 2026-10-05 12:34:34 -04:00
Prad Nukala 0e9e06eb8d docs(content): revamp sliding-window examples and purge empty appendix pages 2026-10-05 12:34:30 -04:00
Prad Nukala 937266b629 feat(config): add appendix redirects and navigation entries, remove list schema, update comments 2026-10-05 12:34:27 -04:00
Prad Nukala 88c0c9b898 refactor(components): add appendix tag icons and drop list badge 2026-10-05 12:34:23 -04:00
Prad Nukala 099123539e refactor(cli): drop guide page creation and streamline appendix term handling in sync script 2026-10-05 12:34:17 -04:00
Prad Nukala 8c39b3ac23 feat(work): add solution for LeetCode 643 Maximum Average Subarray I 2026-10-05 11:24:01 -04:00
Prad Nukala 7ead021ee2 docs(docs): fix cursor handling and hover tip refactor in docs UI components 2026-10-05 11:23:57 -04:00
Prad Nukala 0d066b8104 chore(config): bump dependencies to latest versions 2026-10-05 11:23:52 -04:00
Prad Nukala 9af5ab1fbb docs(content): add YouTube embed to sliding window page 2026-10-05 11:01:17 -04:00
Prad Nukala f770408ea2 feat(work): add solution for LeetCode 1004 Max Consecutive Ones III 2026-10-02 17:19:55 -04:00
Prad Nukala cf6f09825a docs(docs): add redirect for LeetCode 1004 Max Consecutive Ones III page 2026-10-02 17:19:51 -04:00
Prad Nukala ab09e40a2e docs(content): add Max Consecutive Ones III page and update Array badge count 2026-10-02 17:19:34 -04:00
Prad Nukala 91dad73ebf feat(work): add solution for LeetCode 189 Rotate Array 2026-10-02 16:01:45 -04:00
Prad Nukala 400bd5abf5 docs(docs): add redirect for LeetCode 189 Rotate Array 2026-10-02 16:01:42 -04:00
Prad Nukala a258b46cf0 docs(content): add Rotate Array page and bump array/math badges 2026-10-02 16:01:39 -04:00
Prad Nukala 4875fd5139 feat(work): add solution for LeetCode 525 Contiguous Array 2026-10-02 13:03:24 -04:00
Prad Nukala 7b14673e95 docs(redirects): add redirect for Contiguous Array problem 2026-10-02 13:03:21 -04:00
Prad Nukala 1c45e03ddd docs(content): add Contiguous Array page and update array badge count 2026-10-02 13:03:18 -04:00
Prad Nukala cbc858b667 feat(work): add 290.word-pattern solution 2026-10-02 12:42:01 -04:00
Prad Nukala c890fd35a7 docs(redirects): add redirect for Word Pattern problem 2026-10-02 12:41:58 -04:00
Prad Nukala 3e62d6fa6f docs(content): add 290 Word Pattern page and fix String badge count 2026-10-02 12:41:52 -04:00
Prad Nukala 017f111594 docs(content): improve hash table page formatting and headings 2026-10-01 16:51:07 -04:00
Prad Nukala 9899813281 feat(work): add solutions for problems 42, 209, and 34 2026-10-01 16:40:53 -04:00
Prad Nukala a19fd95cc4 docs(docs): add binary search images and new problem redirects 2026-10-01 16:40:49 -04:00
Prad Nukala 799dc2bb80 docs(content): add new problem pages, improve binary‑search docs, fix image syntax, update appendix badge 2026-10-01 16:40:47 -04:00
Prad Nukala 978589b53e feat(work): add solution for LeetCode 974 Subarray Sums Divisible by K 2026-10-01 14:21:24 -04:00
Prad Nukala 876868f2a4 docs: add hash table operations SVG, prefix‑sum PNG, and redirect for LC 974 2026-10-01 14:21:20 -04:00
Prad Nukala 16317c8645 docs(content): enhance linear-structures docs with detailed explanations, new problem page, updated images, and corrected array badge count 2026-10-01 14:21:18 -04:00
Prad Nukala fdd54e4a1c feat(work): add Isomorphic Strings solution 2026-10-01 13:48:08 -04:00
Prad Nukala 24ef28d8b1 docs(docs): add redirect for LeetCode 205 Isomorphic Strings) 2026-10-01 13:48:05 -04:00
Prad Nukala b461d9cab7 docs(content): add Isomorphic Strings page and correct String badge count 2026-10-01 13:47:54 -04:00
Prad Nukala fd57f53d34 docs(changelog): link problems using short redirects instead of issue URLs 2026-09-30 18:02:19 -04:00
Prad Nukala 4b8496c113 feat(docs): add docs link fallback and inline difficulty badge in changelog page 2026-09-30 18:01:07 -04:00
Prad Nukala 7f6a7d4776 refactor(cli): skip issue URL lookup for unplanned problems 2026-09-30 18:00:58 -04:00
Prad Nukala 45bd3f771d feat(docs): add changelog page and switch tag guide paths to appendix 2026-09-30 18:00:35 -04:00
Prad Nukala c3c482d954 docs(content): add issue URLs to problem pages and restructure guides into appendix 2026-09-30 18:00:32 -04:00
Prad Nukala 65f5965a12 chore(config): simplify Blume config and add issue frontmatter schema 2026-09-30 18:00:20 -04:00
Prad Nukala a20be5182f feat(components): add GitHub issue badge to problem badges 2026-09-30 18:00:16 -04:00
Prad Nukala c05e7f0ef2 feat(cli): add GitHub issue URLs to problem pages and rename guides to appendix 2026-09-30 17:58:06 -04:00
Prad Nukala 76c2a64fc6 ci(ci): update deploy workflow comments to reflect changelog page source 2026-09-30 17:58:03 -04:00
Prad Nukala eb1002727b feat(config): add Changelog tab to navigation 2026-09-30 17:38:42 -04:00
Prad Nukala 41c8c2036e docs(project): update campaign timeline and schedule references in documentation 2026-09-30 17:33:41 -04:00
Prad Nukala 31054c01a7 feat(config): add repo link and actions to docs navigation 2026-09-30 17:33:35 -04:00
Prad Nukala 239c7013f8 feat(api): add review day handling and dynamic campaign length 2026-09-30 17:33:32 -04:00
Prad Nukala 7e9ea8d7c2 docs(agents): clarify release job includes Review N in architecture diagram 2026-09-30 16:31:22 -04:00
Prad Nukala 4548289ecf feat(config): tag changelog releases by Topic or Review category 2026-09-30 16:31:18 -04:00
Prad Nukala d6b483f84e feat(cli): add completion helper and handle review issue releases/closures 2026-09-30 16:31:15 -04:00
Prad Nukala a64a6c2379 ci(ci): clarify release job handling for finished Review issues 2026-09-30 16:31:11 -04:00
Prad Nukala ffa8a11f51 feat(api): expose review markdown body in Review objects 2026-09-30 16:31:06 -04:00
Prad Nukala d722feda1c docs(agents): clarify topic flow and review issue handling in architecture diagram 2026-09-30 16:23:58 -04:00
Prad Nukala 9c7d48aad8 feat(cli): close review issues and support moved problems 2026-09-30 16:23:54 -04:00
Prad Nukala 1d77c5a8b5 ci(ci): update Close Topics workflow to handle Review issues and clarify descriptions 2026-09-30 16:23:52 -04:00
Prad Nukala b2dffa4615 feat(api): sync catalog with problems moved to review issues 2026-09-30 16:23:50 -04:00
Prad Nukala f8ff12b55e docs(redirects): add redirect for LC 435 non‑overlapping intervals 2026-09-30 15:53:11 -04:00
Prad Nukala c791974271 docs(content): add 435 non‑overlapping intervals doc, condense meta, bump guide badges 2026-09-30 15:53:08 -04:00
Prad Nukala e1c8f1a0f1 feat(work): implement eraseOverlapIntervals solution for non-overlapping intervals problem 2026-09-30 15:52:50 -04:00
Prad Nukala 57a5917e09 chore(config): remove unused narration flag 2026-09-30 15:40:31 -04:00
Prad Nukala f8e90d7f55 ci(ci): add OPENROUTER_API_KEY secret to deploy workflow and docs 2026-09-30 15:34:43 -04:00
Prad Nukala a39336f7ed refactor(ask): replace hardcoded model with ASK_MODEL env variable 2026-09-30 15:32:05 -04:00
Prad Nukala 6396f1fbec docs(content): set display to group for binary search and hash table pages 2026-09-30 15:32:00 -04:00
Prad Nukala 82fe05b225 feat(config): add ASK_MODEL env var and update docs assistant endpoint to SRS API 2026-09-30 15:31:56 -04:00
Prad Nukala d7fbe88eb8 ci(ci): add OpenRouter API key secret to deploy workflow 2026-09-30 15:31:31 -04:00
Prad Nukala 856ab0667a feat(api): add docs assistant endpoint with OpenRouter integration 2026-09-30 15:31:10 -04:00
Prad Nukala 2c574018fb feat(docs): add OpenRouter AI SDK provider dependency and update @vercel/oidc version 2026-09-30 15:27:57 -04:00
Prad Nukala 1f6413f3d8 feat(docs): add OpenRouter AI provider and improved tag color algorithm 2026-09-30 15:27:52 -04:00
Prad Nukala 3b9079f87f feat(components): enhance tag color computation for problem badges 2026-09-30 15:27:34 -04:00
Prad Nukala d5496581df feat(config): enable narration, SEO, and agents settings in Blume config 2026-09-30 15:19:01 -04:00
Prad Nukala e931391200 feat(cli): add guide icon validation and warnings in sync script 2026-09-30 15:17:39 -04:00
Prad Nukala 790e256127 feat(work): add solution stub for LeetCode 435 Non-overlapping Intervals 2026-09-30 15:17:35 -04:00
Prad Nukala a8bd4fbcd7 docs(docs): add unique tag colours and pill‑styled badges for problem tags. 2026-09-30 15:17:31 -04:00
Prad Nukala a7737502e1 docs(content): set meta display to page and improve interval documentation formatting 2026-09-30 15:17:24 -04:00
Prad Nukala 2ac54e9930 chore(config): bump blume to ^2.1.0 2026-09-30 15:16:54 -04:00
Prad Nukala ef91c0d1fe feat(work): add merge intervals solution 2026-09-30 12:22:34 -04:00
Prad Nukala 910e83fa64 docs(redirects): add redirect for merge intervals problem 2026-09-30 12:22:31 -04:00
Prad Nukala 3c9feb33fe docs(content): add Merge Intervals page, quicksort guide, and bump guide badges 2026-09-30 12:22:29 -04:00
Prad Nukala b76b199b17 feat(work): implement insert interval solution 2026-09-30 12:17:47 -04:00
Prad Nukala cd9aef1229 docs(docs): add intervals_merge-formula.svg illustration and redirect for problem 57 2026-09-30 12:17:43 -04:00
Prad Nukala 34b944d32d docs(content): add Insert Interval page, expand intervals guide, and update array badge 2026-09-30 12:17:40 -04:00
Prad Nukala b710c777c3 feat(work): add insert-interval solution 2026-09-30 11:25:43 -04:00
Prad Nukala 19dedc52ce docs(docs): add interval overlap condition and formula SVG illustrations 2026-09-30 11:25:39 -04:00
Prad Nukala d9dc90e433 docs(content): add detailed interval explanation with overlap condition and merging pattern 2026-09-30 11:25:16 -04:00
Prad Nukala 9c2aaf5969 chore(config): add .openlogs to .gitignore 2026-09-30 11:25:03 -04:00
Prad Nukala a30e593202 docs(agents): fix bullet list formatting in AGENTS.md 2026-09-29 17:45:06 -04:00
Prad Nukala d194cedf7a docs: add toggle UI components, submission chart, and update stats schema 2026-09-29 17:45:01 -04:00
Prad Nukala 5d2d1dff3c chore(config): add class-variance-authority and radix-ui dependencies 2026-09-29 17:44:57 -04:00
Prad Nukala dde06daea3 feat(api): add difficulty‑segmented solved data to yearly stats 2026-09-29 17:44:54 -04:00
Prad Nukala 6e9c407698 docs(agents): refine AGENTS.md descriptions for apps/docs and stats sections 2026-09-29 17:29:03 -04:00
Prad Nukala 63f0a81af3 feat(docs): add progress dashboard components and styling 2026-09-29 17:28:59 -04:00
Prad Nukala 5ed33057ed chore(config): add charting and utility dependencies to docs package.json 2026-09-29 17:28:54 -04:00
Prad Nukala f4fc0fd0e7 feat(api): add recent solves, yearly stats, and miss count to API 2026-09-29 17:28:49 -04:00
Prad Nukala f2a2d2d7de docs(greedy): add Walk and Carry and Sort and Pick sections to Greedy Skeleton 2026-09-29 17:15:21 -04:00
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+3 -3
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@@ -5,7 +5,7 @@ description: Write the `## Approach` section — a Mermaid flowchart that traces
# Problem approach diagrams
Every solution page (`apps/docs/content/(<phase>)/<topic>/<num>-<slug>.mdx`) has a
Every solution page (`apps/docs/content/(<phase>)/<topic>/(problems)/<num>_<slug>.mdx`) has a
hand-owned section before the script-owned one:
```
@@ -100,7 +100,7 @@ flowchart TD
The base case is the first decision after entry.
- **Classes** (design problems) use one `subgraph name["method(args)"]` per public
method, plus a `state["…"]` subgraph describing the fields, with `state --> method`
edges — see `(hash-table)/146-lru-cache.mdx`. Private helpers are named inside the
edges — see `hybrid-structures/(problems)/146_lru-cache.mdx`. Private helpers are named inside the
method nodes (`"_remove_node then _add_node — move it beside the tail"`), not drawn.
- **Annotate the why with an em dash** inside the node, sparingly (one clause, a few
per diagram): `"nums.sort() — duplicates become adjacent"`, `"map = {0: 1} — the
@@ -122,7 +122,7 @@ flowchart TD
### Code that does not run
Trace it anyway — the diagram documents what was submitted — and put a `::::warning`
callout **before** the fence naming exactly why it fails (`(array)/121-best-time-to-buy-and-sell-stock.mdx`):
callout **before** the fence naming exactly why it fails (`sliding-window/(problems)/121_best-time-to-buy-and-sell-stock.mdx`):
````md
## Approach
+10 -6
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@@ -62,13 +62,17 @@ jobs:
fi
bun apps/cli/sync-project-fields.ts
# One timever release per finished topic (every core sub-issue closed),
# tagged at the instant the last core problem closed. It reads the same rule
# One timever release per finished topic (every core sub-issue closed) and
# per finished `Review <N> — <Phase>` issue (every sub-issue closed), tagged
# at the instant the last required problem closed. It reads the same rules
# close-topics uses (apps/cli/topics.ts) straight off the sub-issues, so the
# push that finishes a topic releases it in this run — no waiting for Close
# Topics, which chains after this workflow. Reconciling: a run releases
# every finished topic still missing one, so a manual dispatch backfills and
# a problem closed by hand in the UI is picked up by the next run.
# push that finishes a topic or review releases it in this run — no waiting
# for Close Topics, which chains after this workflow. A problem re-parented
# into a Review issue still belongs to its topic (apps/api/src/reviews.ts),
# so moving it never rewrites a topic's release. Reconciling: a run releases
# everything finished and still missing a release, so a manual dispatch
# backfills and a problem closed by hand in the UI is picked up by the next
# run. The docs changelog (deploy.yml) tags each release Topic or Review.
release:
needs: close
# Like close-topics: a partially failed close still closed some issues,
+11 -6
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@@ -1,9 +1,14 @@
name: Close Topics
# No D1 push here, unlike Close Solved: D1 stores no topic completion column.
# Phase progress, the gate pools and the charts all derive from the problem
# rows, which close-solved already logs — a topic is finished exactly when its
# core problems are, so there is nothing left to reconcile.
# Closes finished topics AND finished `Review <N> — <Phase>` issues (every
# sub-issue closed). Problems moved from a topic into a Review issue still
# count toward that topic (apps/cli/topics.ts).
#
# No D1 push here, unlike Close Solved: D1 stores no topic or review
# completion column. Phase progress, the gate pools and the charts all derive
# from the problem rows, which close-solved already logs — a topic or review
# is finished exactly when its problems are, so there is nothing left to
# reconcile.
on:
# Close Solved closes problem issues with GITHUB_TOKEN, and token-driven
@@ -19,7 +24,7 @@ on:
workflow_dispatch:
inputs:
dry_run:
description: Report finished topics without closing anything
description: Report finished topics and reviews without closing anything
type: boolean
default: false
@@ -34,7 +39,7 @@ concurrency:
jobs:
close:
# The `issues` trigger fires for every issue in the repo; only closing a
# problem sub-issue can ever complete a topic's core set.
# problem sub-issue can ever complete a topic's core set or a review.
if: github.event_name != 'issues' || contains(github.event.issue.labels.*.name, 'problem')
runs-on: ubuntu-latest
steps:
+14 -6
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@@ -30,10 +30,10 @@ jobs:
- uses: oven-sh/setup-bun@v2 # skip if you use npm/pnpm
- run: bun install --frozen-lockfile
# blume.config.ts pulls the /changelog pages from this repo's GitHub
# releases (githubReleases source) at build time. The token authenticates
# that fetch — required if the repo is private, and it lifts the shared
# runner's unauthenticated API rate limit. `contents: read` covers it.
# pages/changelog.astro reads this repo's GitHub releases at build time
# (apps/docs/lib/releases.ts). The token authenticates that fetch —
# required if the repo is private, and it lifts the shared runner's
# unauthenticated API rate limit. `contents: read` covers it.
- run: bun run build
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
@@ -54,8 +54,9 @@ jobs:
# Deploys on every main push (not path-filtered): apps/api/data/schedule.json
# is bundled at deploy time, and re-deploying an unchanged Worker is a no-op.
# Needs repo secrets CLOUDFLARE_API_TOKEN (Workers Scripts: Edit) and
# CLOUDFLARE_ACCOUNT_ID.
# Needs repo secrets CLOUDFLARE_API_TOKEN (Workers Scripts: Edit),
# CLOUDFLARE_ACCOUNT_ID, and OPENROUTER_API_KEY (the docs assistant's
# POST /ask; the Actions secret is the one copy, mirrored into the Worker).
deploy-api:
runs-on: ubuntu-latest
steps:
@@ -68,6 +69,13 @@ jobs:
# DST cron guards must hold before the Worker ships.
- run: bun run api:test
- run: printf %s "$OPENROUTER_API_KEY" | bunx wrangler secret put OPENROUTER_API_KEY
working-directory: apps/api
env:
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
CLOUDFLARE_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
- run: bun run api:deploy
env:
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
+1
View File
@@ -1,5 +1,6 @@
# dependencies (bun install)
node_modules
.openlogs
tmp/
*.log
.crush
+25 -17
View File
@@ -2,7 +2,7 @@
## Project Overview
LeetCode interview-prep campaign (8 weeks, 2026-08-17 → Oct 11) run as a repo: solution files under `work/`, a Blume docs site under `apps/docs/`, GitHub Actions that reconcile issues and publish docs, and a Cloudflare Worker (`apps/api/`) that runs the spaced-repetition system (SRS) — daily digest email, one-tap logging, weekly review issues, live charts. Issues model the curriculum: ~24 `topic` issues (`Topic NN — Name`) own ~161 `problem` sub-issues titled `LC <num> · <Name>`, with difficulty and set carried **only** by labels (`set:core|optional|deferred`, `diff:*`) — never by the title; milestones are phases; a user-level GitHub Project ("Interview Prep", #2) mirrors review state.
LeetCode interview-prep campaign (2026-08-17 → Dec 5: eight weeks of topics, the Review-issue phase, a two-week break, then a 30-day interview sprint from Fri Nov 6 (`SPRINT_START`); the end is the last date in `apps/api/data/schedule.json` — `CAMPAIGN_END`/`CAMPAIGN_DAYS`/`SPRINT_DAYS` in `apps/api/src/srs.ts` are derived from it, never declared) run as a repo: solution files under `work/`, a Blume docs site under `apps/docs/`, GitHub Actions that reconcile issues and publish docs, and a Cloudflare Worker (`apps/api/`) that runs the spaced-repetition system (SRS) — daily digest email, one-tap logging, weekly review issues, live charts. Issues model the curriculum: ~24 `topic` issues (`Topic NN — Name`) own ~161 `problem` sub-issues titled `LC <num> · <Name>`, with difficulty and set carried **only** by labels (`set:core|optional|deferred`, `diff:*`) — never by the title; milestones are phases; a user-level GitHub Project ("Interview Prep", #2) mirrors review state.
## Architecture & Data Flow
@@ -13,8 +13,8 @@ flowchart LR
work[work/ solutions] -->|bun run sync| docs[apps/docs/content/*.mdx]
work -->|close-solved.yml| PI[problem issues]
work -->|close-solved.yml POST /admin/solved| D1[(D1 = SRS state)]
PI -->|close-topics.yml| TI[topic issues]
PI -->|close-solved.yml release job| Rel[timever release per finished topic]
PI -->|close-topics.yml| TI[topic + Review N issues]
PI -->|close-solved.yml release job| Rel[timever release per finished topic / Review N]
GH[GitHub issues = catalog] -->|nightly reconcile| D1
D1 -->|8 AM ET cron| Mail[digest email + one-tap links]
Mail -->|GET /log| D1
@@ -38,7 +38,9 @@ flowchart LR
- **Determinism = idempotency.** Drill/gate sampling uses a seeded PRNG (`rng()` in `apps/api/src/srs.ts`, FNV-1a → mulberry32, seed = date / ISO week); the digest is keyed by ET date in `email_log`; one-tap links are unique on (problem, date, kind).
- **DST-proof crons:** each event has two UTC crons; code fires only on the computed ET hour (`etHour`), unit-checked in `apps/api/src/srs.test.ts`.
- **Chained workflows:** `GITHUB_TOKEN`-driven issue closes fire no `issues` events, so `close-topics.yml` chains off `workflow_run` of Close Solved instead. The Worker's webhook uses its own `GH_PAT`, so its events flow normally.
- **One "finished topic" rule, two consumers.** `apps/cli/topics.ts` (`coreSet()`: every `set:core` sub-issue closed, zero core = never) is read by `close-topics.ts` (closes the topic issue) and `release-topics.ts` (the `release` job of `close-solved.yml`). The release reads the sub-issues, not the topic issue, so the push that finishes a topic releases it in the same run instead of waiting for Close Topics to chain after it. Version = [timever](https://gist.github.com/twolfson/de1b004dd22536b8e668) (`YYYYMMDD.HHMMSS.NNNNNNNNN`, UTC) of the instant the last core problem closed; the tag is annotated and backdated to that instant, on the last first-parent main commit before it; the body is a changelog snapshot at that instant (a one-sentence summary first — Blume's changelog makes it the page's meta description — then closed on the finish day / earlier / open at release, with solution links at the tag). A release is found by its `<!-- release-topics: #N -->` body marker, never by tag name, so re-closing a core problem never mints a second one; an existing release keeps its tag and has its name (the topic title) and body rewritten whenever the render changes. The docs `/changelog` is these releases (`githubReleases` in `apps/docs/blume.config.ts`, fetched at build with `GITHUB_TOKEN`), dated by the timever tag, not `published_at` (which the API cannot backdate): `releasesDatedByTag` rewrites each timever release's `published_at` before Blume maps it, via `custom(githubReleasesSource(…))` because the config-level `githubReleases()` takes no `fetchImpl`. Changing the tag format breaks the changelog dates.
- **One "finished topic" rule, two consumers.** `apps/cli/topics.ts` (`coreSet()`: every `set:core` sub-issue closed, zero core = never) is read by `close-topics.ts` (closes the topic issue) and `release-topics.ts` (the `release` job of `close-solved.yml`). The release reads the sub-issues, not the topic issue, so the push that finishes a topic releases it in the same run instead of waiting for Close Topics to chain after it. Version = [timever](https://gist.github.com/twolfson/de1b004dd22536b8e668) (`YYYYMMDD.HHMMSS.NNNNNNNNN`, UTC) of the instant the last core problem closed; the tag is annotated and backdated to that instant, on the last first-parent main commit before it; the body is a changelog snapshot at that instant (a one-sentence summary first, then the problems closed on the finish day / earlier, with solution links at the tag — problems still open at the finish are left out). A release is found by its `<!-- release-topics: #N -->` body marker, never by tag name, so re-closing a core problem never mints a second one; an existing release keeps its tag and has its name (the topic title) and body rewritten whenever the render changes. The docs `/changelog` is ONE custom page, `apps/docs/pages/changelog.astro` (a NeonUI-style timeline: date left, a card per release right, no per-release subpages, so nothing of it enters the sidebar or prev/next), linked from the header by a `navigation.tabs` entry (beside `/appendix`'s). `apps/docs/lib/releases.ts` fetches the releases at build (`GITHUB_TOKEN` in `deploy.yml`; a failed fetch fails the build), dates each by its timever tag, not `published_at` (which the API cannot backdate), tags it `Topic` or `Review` from the release name, and lists the rows of its `### Closed …` tables — so the tag format and that table shape are the page's contract with `render()`. There is no changelog RSS feed.
- **Review issues re-parent problems; topics still own them.** The transfer phase's 20 `Review <N> — <Phase>` issues (label `review`, milestone `Review — Transfer & Mocks`; not the Worker's `Review — Week N` gate issues) hold open optional/deferred problems as sub-issues in solve order, moved there with `replace_parent`. `apps/api/src/reviews.ts` is the ONE recovery of ownership — `readReviews()` (one GraphQL request per 50 `review` issues, cheap enough for the Worker's cron subrequest budget) reads each moved problem's topic off its last `parent_issue_removed` event naming a topic, `movedFromTopics()` groups them — shared by the Worker's catalog reconcile (a moved problem's D1 row keeps syncing its labels and `topic_issue`) and `apps/cli/topics.ts` (`readProblems()` returns a topic's sub-issues plus its moved problems, so the finished rule and existing release bodies do not change when a problem moves). A Review issue finishes by `completion()` in `topics.ts` — every sub-issue closed, any set — which `close-topics.ts` closes it on and `release-topics.ts` releases it on, exactly like a topic: timever of the last close, same `<!-- release-topics: #N -->` marker (issue numbers never collide), body fields from the review's `**Scheduled:**`/`**Phase:**`/`**Load:**` lines.
- **Review days are plan days.** `schedule.json` books each Review issue on its own date — Mon/Tue/Thu/Fri only; Reviews 1–6 ran Oct 1–9, Review 4 closed out Nov 2 after the break, and Reviews 7–20 run through the sprint (Nov 6 → Dec 1, Thanksgiving left unbooked), followed by two sweep days and a `gate: []` Saturday that marks the last day — as `review: { issue, title, problems }` (solve order). The digest renders it as a linked "Today's review" section with the issue's day rules (`REVIEW_RULES` in `email.tsx`, one sentence for HTML and text), its problems join `RESERVED` so drills and sampled gates never draw them early, and `gate: []` skips a Saturday's checkpoint (Oct 3, Dec 5). The issue's sub-issues stay the truth: the catalog reconcile compares every booked review's title and problem list with GitHub and returns any mismatch as `reviewDrift` (also logged), so a re-arranged Review issue shows up the next sync instead of silently disagreeing with the email. Move a review by editing its `schedule.json` date AND the issue's `**Scheduled:**` line (the release body reads it).
## Key Directories
@@ -46,9 +48,9 @@ flowchart LR
|---|---|
| `work/<1\|3\|7>/<Difficulty>/<Category>/<num>.<slug>.{js,py}` | Solutions, e.g. `work/1/Easy/Array/1.two-sum.py`. The top directory is the spaced-repetition bucket: `1` = first solve, `3`/`7` = the blind re-solves of that problem 3 and 7 days later. Machine-parsed header comment (title / `Difficulty:` / URL / `─` rule / statement) — preserve its exact shape |
| `apps/cli/` | Flat Bun TS workspace: automation entries (shebang + top-level await) and libraries (no shebang, side-effect-free on import). Root `bun run` scripts delegate here |
| `apps/docs/` | Blume site (`blume.config.ts`, `content/`, `components/` + `components.ts`, `islands/`, `public/`). `content/(0N-<phase>)/<topic>/<num>-<slug>.mdx` plus one `meta.ts` per phase and per topic folder, all generated by sync (a phase's once, then hand-owned): the phase folder is a `(group)` (sidebar section, no route segment), the topic folder is the README campaign topic slug (`tree-dfs/`, `heap-priority-queue/`) and a real route segment (`/tree-dfs/invert-binary-tree`), the `meta.ts` files carry the exact labels, phase/topic numbers and icons so the sidebar reads in curriculum order with each topic a collapsible group. A problem page's badge row (between the description and the body) is rendered, not written: the MDX `wrapper` (`components/ProblemBadges.astro`, registered as `mdx.wrapper` in `components.ts` — Blume's page template renders the title and description itself with no slot before the body, so the wrapper, which MDX hands no route, reads it off `Astro.url`) reads the page's `topics:` (LeetCode's topic tags, from sync) and `video:` (NeetCode YouTube id, from `bun run videos`) frontmatter — both declared via `frontmatter.extend` in `blume.config.ts`, hand-rolled Standard Schemas, no zod — and links a tag the campaign teaches to its topic landing page (accent), any other tag to its guide page `/guides/<slug>` (neutral; LeetCode's problem list if the guide is gone), and the video as a red `Explanation` badge. The reverse direction is the `PageFooter` slot (`components/BacklinksList.astro`): an Obsidian-style `<num> <name>` list under every topic landing and guide page of the problems whose badges link there, plus a topic's own folder members (so a topic no tag names, `hybrid-structures`, still lists its problems), in a native `<details>` open on load whose top-right chevron collapses it (no JS); problem pages are recognised by their `<num>. <name>` title and render no list. Which tags the campaign teaches is ONE map, `apps/docs/topic-landings.ts` (tag slug → landing routes), and where a badge points is ONE function beside it, `tagTarget()` — read by both components (so badges and backlinks cannot disagree) and the map by sync. `content/guides/` (the `Guides` header tab) is one page per tag outside that map, filed by hand into `(group)` categories — `(1-data-structures)/`, `(2-algorithms)/`, `(3-techniques)/` (hand-written `meta.ts` each; no route segment, so every guide stays `/guides/<slug>`). Sync finds a guide by slug anywhere under `guides/` and creates a placeholder only when none exists or it is empty — at the `guides/` root, for you to file into a category and give a Lucide `icon:` that no topic uses (not a `TOPIC_ICONS` value — sync warns on a collision — and, by convention, not one any other page uses either) — and after that owns exactly one key of it: `sidebar.badge`, the sidebar count, rewritten every run to the guide's backlink count (problem pages carrying the tag — equal to the `BacklinksList` rows, since a guide's tag has no landing; dropped at zero). Everything else is hand-owned (a guide whose tag no page carries any more is left alone, badge dropped), with frontmatter `list:` — the tag's LeetCode problem list, rendered by the same wrapper as an orange `LeetCode list` badge; sync also writes `guides/meta.ts`. A hand-written `(0N-<phase>)/<topic>/index.mdx` (`hidden: true`) is that topic's landing page: Blume ≥ 1.7.3 links the sidebar group row to it (`sliding-window/index.mdx` → `/sliding-window`) and the hidden flag drops the duplicate row. Two kinds of custom MDX component, both import-free on every page: `islands/<Name>.tsx` is hydrated React (auto-discovered; `ProgressDashboard`, `DependencySpine` — the README topic map as data, zoom/pan, nodes link to whatever route Blume's `/api/docs/navigation.json` reports for the topic folder, inert until a topic has pages), `components/<Name>.astro` registered in `components.ts` is static markup plus a custom element for behaviour, the way Blume's own `Frame` is built (`Carousel`/`CarouselImage`: `src` takes a URL, `/file.png`, or the page-relative `../../public/file.png`) |
| `apps/api/` | Cloudflare Worker workspace: `src/` modules, `data/schedule.json` (the plan: `date → { topics | problems | gate | sweep }`, human-edited, bundled at deploy), `migrations/` (append-only; `0002` is the +3/+7 ladder rebuild) |
| `.github/workflows/` | deploy (docs → Pages with `GITHUB_TOKEN` for the releases-backed changelog, Worker → Cloudflare, on every main push), close-solved (issues + `/admin/solved` + Project `Set`/`Difficulty`, needs `SRS_ADMIN_KEY` and `PROJECT_PAT`; then the `release` job: timever tag + release per finished topic, `contents: write`), close-topics, sync-d1 (issue edits → `/admin/reconcile`), spaced-repetition (daily 06:00 ET cron → today's review issue; `GITHUB_TOKEN` only, no secrets) |
| `apps/docs/` | Blume site (`blume.config.ts`, `content/`, `pages/`, `components/` + `components.ts`, `islands/`, `public/`). `content/(0N-<phase>)/<topic>/(problems)/<num>_<slug>.mdx` plus one `meta.ts` per phase and per topic folder, all generated by sync (a phase's once, then hand-owned): the phase folder is a `(group)` (sidebar section, no route segment), the topic folder is the README campaign topic slug (`tree-dfs/`, `heap-priority-queue/`) and a real route segment, and `(problems)` is a second `(group)` inside it, so `tree-dfs/(problems)/226_invert-binary-tree.mdx` routes to `/tree-dfs/invert-binary-tree` (Blume sorts by the `<num>_` prefix and strips it from the route). The `meta.ts` files carry the exact labels, phase/topic numbers and icons so the sidebar reads in curriculum order; every topic meta is `display: "page"`, so a topic is one sidebar row whose panel holds its landing page and a "Problems" section. A problem page's badge row (between the description and the body) is rendered, not written: the MDX `wrapper` (`components/ProblemBadges.astro`, registered as `mdx.wrapper` in `components.ts` — Blume's page template renders the title and description itself with no slot before the body, so the wrapper, which MDX hands no route, reads it off `Astro.url`) reads the page's `topics:` (LeetCode's topic tags, from sync) and `video:` (NeetCode YouTube id, from `bun run videos`) frontmatter — both declared via `frontmatter.extend` in `blume.config.ts`, hand-rolled Standard Schemas, no zod — and links a tag the campaign teaches to its topic landing page (filled), any other tag to its card on the Appendix glossary `/appendix#<slug>` (outlined; LeetCode's problem list if the tag has no term, gray and iconless), and the video as a red `Explanation` badge. Every badge in the row is a pill. A tag badge carries the icon its target shows (a landing's: the topic `meta.ts` icon read off `data.navigation`; an Appendix term's: its `icon` in `appendix.ts`) and the tag's own colour from `lib/tag-colors.ts` — unique per tag site-wide, assigned greedily over every tag with a landing or a term so tags that share problem pages sit furthest apart in OKLab, in a lightness band that keeps ≥ 3:1 contrast in both themes (Blume's Badge takes one hex for both). The reverse direction is the `PageFooter` slot (`components/BacklinksList.astro`): an Obsidian-style `<num> <name>` list under every topic landing page of the problems whose badges link there, plus a topic's own folder members (so a topic no tag names, `hybrid-structures`, still lists its problems), in a native `<details>` open on load whose top-right chevron collapses it (no JS); problem pages are recognised by their `<num>. <name>` title and render no list. The sidebar is Blume's default nav tree (no `Sidebar` slot override). The custom pages `/progress`, `/changelog` and `/appendix` are header `navigation.tabs` (on mobile, Blume lists them at the top of the drawer); never `navigation.featured`, which Blume renders above the nav tree. Which tags the campaign teaches is ONE map, `apps/docs/topic-landings.ts` (tag slug → landing routes), and where a badge points is ONE function beside it, `tagTarget()` — read by both components and the Appendix page (so badges, backlinks and term cards cannot disagree) and the map by sync. Every other tag a problem carries is ONE hand-written table, `apps/docs/appendix.ts` (`APPENDIX`: slug → `{ name, icon, category, definition }`), rendered by ONE custom page, `pages/appendix.astro` — a glossary with an A–Z letter index and a filter box (an `<appendix-filter>` custom element over static markup; no JS, the full list), one card per term (icon tinted the tag's colour, category, definition, LeetCode list link, and a `<details>` "Solved" list of the problem pages whose badge `tagTarget()` sends there, paged `PAGE_SIZE` (5) rows at a time by numbered buttons under it — a `<solved-pages>` custom element; without JS every row shows and the buttons stay hidden), each card `id`'d by slug and highlighted as `:target`. It is no content folder, so it enters neither the sidebar tree nor prev/next: its header tab is its link. Sync writes nothing for it — it warns about a carried tag with no term, a term whose tag a topic now teaches (delete it), and a term `icon` that is a `TOPIC_ICONS` value or another term's. The former per-term pages `/appendix/<slug>` are exact redirects to `/appendix#<slug>` in `blume.config.ts`, generated from `APPENDIX`'s keys. A hand-written `(0N-<phase>)/<topic>/index.mdx` (`hidden: true`) is that topic's landing page: Blume ≥ 1.7.3 links the sidebar group row to it (`sliding-window/index.mdx` → `/sliding-window`) and the hidden flag drops the duplicate row. Two kinds of custom MDX component, both import-free on every page: `islands/<Name>.tsx` is hydrated React (auto-discovered; `DependencySpine` — the README topic map as data, zoom/pan, nodes link to whatever route Blume's `/api/docs/navigaLine truncated
| `apps/api/` | Cloudflare Worker workspace: `src/` modules, `data/schedule.json` (the plan: `date → { topics | problems | review | gate | sweep }`, human-edited, bundled at deploy), `migrations/` (append-only; `0002` is the +3/+7 ladder rebuild) |
| `.github/workflows/` | deploy (docs → Pages with `GITHUB_TOKEN` for the releases-backed changelog, Worker → Cloudflare with the `OPENROUTER_API_KEY` Actions secret put into it first, on every main push), close-solved (issues + `/admin/solved` + Project `Set`/`Difficulty`, needs `SRS_ADMIN_KEY` and `PROJECT_PAT`; then the `release` job: timever tag + release per finished topic, `contents: write`), close-topics, sync-d1 (issue edits → `/admin/reconcile`), spaced-repetition (daily 06:00 ET cron → today's review issue; `GITHUB_TOKEN` only, no secrets) |
| `.githooks/` | Tracked git hooks; `bun install` points `core.hooksPath` here (root `prepare` script, no husky). `pre-commit` runs `bun run sync` and stages only what sync changed (pages, `apps/docs/redirects.ts`), so a solution, its page and its `/<num>` short link land in one commit; it refuses to run while `work/1` has anything unstaged (sync reads the tree, so the page would not match the commit), and leaves pre-existing dirt under `apps/docs/content` (in-progress `## Approach` prose) unstaged. `git commit --no-verify` for a deliberate partial commit |
## Development Commands
@@ -66,9 +68,14 @@ bun run stats # terminal dashboard over GET /api/stats — four panes
# r refetches, q quits. Outside a TTY it prints every pane once.
# SRS_API points it at a local Worker like close-solved does.
bun run test # run ONE solution against LeetCode's judge (not a test suite;
# most recently tested first, stamped in the db on exit 0)
bun run submit # submit ONE solution to LeetCode (newest scaffold first, nothing
# hidden; last_submitted stamped in the db on exit 0)
# files git sees as modified/untracked first, so Enter runs the
# one in progress; then most recently tested; stamped on exit 0)
bun run submit # submit ONE solution to LeetCode (uncommitted first, then newest
# scaffold, nothing hidden; last_submitted stamped on exit 0).
# Both fold in the signed-in profile's submission history once
# a day (leetcode-cli's keychain login; GraphQL only — LeetCode's
# REST /api/* answers 403), so a lost db or fresh clone recovers
# both orderings
bun run sync # work/1 → apps/docs/content/ pages + apps/docs/redirects.ts (/<num> short
# links; re-solves are never published)
bun run videos # docs pages with no `video:` frontmatter → NeetCode video per page
@@ -106,21 +113,22 @@ curl -X POST -H "Authorization: Bearer $LINK_KEY" \
## Important Files
- `apps/api/src/srs.ts` — SRS domain: the ladder (`new → +3 → +7 → retired`; fail resets to `+3`; first-ever log enters at `+3`), `WINDOWS`/`STAGES`/`TEMPERATURES`/`DIFFICULTIES`/`SETS` (the one vocabulary shared by the charts, the `work/<n>` buckets, the review issues and the stats dashboard), ET date math, `workingDay()` (no scheduled date is ever a Sunday), `temperatureOf()` (days since a concept was last exercised → `hot`/`fresh`/`fading`/`cold`, bands derived from `WINDOWS` so they cannot drift; read-side only, nothing is scheduled off it), seeded sampling, `logAttempt()` (the ONE write path — email taps, webhook, gate scoring all converge here), and overload leveling: at most `REVIEW_CAP` (3) reviews surface per day — `levelReviews()` (run by `sendDigest` on real sends only, never dry) gives everything past the cap a concrete future WORKING day, ≤ 3 per day, oldest first, instead of letting the due pile grow.
- `apps/api/src/index.ts` — router + cron dispatch; `apps/api/wrangler.jsonc` — bindings (`DB`, `EMAIL`), crons, vars; secrets `GH_PAT`/`WEBHOOK_SECRET`/`LINK_KEY` via `wrangler secret put`.
- `apps/api/src/digest.ts` / `apps/api/src/email.tsx` — the daily digest, split data/presentation. `digest.ts` reads D1 into a `DigestData`; `email.tsx` owns every colour and every sentence, and renders both the HTML and (via its own `plainDigest`, not React Email's `plainText` mode, which flattens the tables) the text alternative. The retrieval rules hold by construction: `DigestRow` has no title and no issue field, so a review or drill line *cannot* leak the topic or a solution link. Subject is `(Day N/56) LeetCode Daily Digest`.
- `apps/api/src/srs.ts` — SRS domain: the ladder (`new → +3 → +7 → retired`; fail resets to `+3`; first-ever log enters at `+3`), `WINDOWS`/`STAGES`/`TEMPERATURES`/`DIFFICULTIES`/`SETS` (the one vocabulary shared by the charts, the `work/<n>` buckets, the review issues and the stats dashboard), ET date math, `workingDay()` (no scheduled date is ever a Sunday), `temperatureOf()` (days since a concept was last exercised → `hot`/`fresh`/`fading`/`cold`, bands derived from `WINDOWS` so they cannot drift; read-side only, nothing is scheduled off it), seeded sampling, `logAttempt()` (the ONE write path — email taps, webhook, gate scoring all converge here), and overload leveling: at most `REVIEW_CAP` (5 since the break, to drain its backlog within the sprint) reviews surface per day — `levelReviews()` (run by `sendDigest` on real sends only, never dry) gives everything past the cap a concrete future WORKING day, ≤ 5 per day, oldest first, instead of letting the due pile grow.
- `apps/api/src/index.ts` — router + cron dispatch; `apps/api/wrangler.jsonc` — bindings (`DB`, `EMAIL`), crons, vars; secrets `GH_PAT`/`WEBHOOK_SECRET`/`LINK_KEY` via `wrangler secret put`, and `OPENROUTER_API_KEY`, whose one copy is the repo's Actions secret (deploy.yml puts it before every deploy — rotate it there).
- `apps/api/src/ask.ts` — `POST /ask`, the docs assistant's backend. Blume's own assistant route is server-rendered and cannot ship in the static Pages build (`BLUME_SERVER_FEATURE_REQUIRED`), so `blume.config.ts` sets `ai.assistant.endpoint` to this route instead of a `provider`. It speaks the Blume island's wire contract (`{ messages, page: { path } }` in, a plain-text stream out, a 503 "The assistant is not configured…" when the key is missing), validates like Blume's generated route (1–40 user/assistant messages, 24 000 chars, 64 KB — no caller system prompt), grounds on the published `llms-full.txt` (current page first, then keyword-ranked excerpts in Blume's 6 × 2 000 / 10 000-char budget, cached 5 min), and streams OpenRouter's chat completions over plain `fetch` — no AI SDK — for the `ASK_MODEL` var. `:free` models share an upstream pool and often answer 429, which the island shows as its rate-limit notice.
- `apps/api/src/digest.ts` / `apps/api/src/email.tsx` — the daily digest, split data/presentation. `digest.ts` reads D1 into a `DigestData`; `email.tsx` owns every colour and every sentence, and renders both the HTML and (via its own `plainDigest`, not React Email's `plainText` mode, which flattens the tables) the text alternative. The retrieval rules hold by construction: `DigestRow` has no title and no issue field, so a review or drill line *cannot* leak the topic or a solution link. Subject is `(Day N/<SPRINT_DAYS>) LeetCode Daily Digest` and the progress line `Day N of <SPRINT_DAYS> · Week k` (Mon–Sun weeks, so the Friday start makes week 1 three days long) — 30 with the sprint running Nov 6 → Dec 5; before day 1 they count down (`(Sprint in N days)`). Booking a later day in `schedule.json` lengthens the sprint, and the whole-campaign heatmaps and `/api/stats` `heat` (still from `CAMPAIGN_START`) with it.
- `apps/api/src/png.ts` — hand-rolled PNG encoder (RGB8, one IDAT, zlib via `CompressionStream("deflate")`, CRC32, 5×7 bitmap font). It exists because every major email client refuses remote SVG, so `/chart/heatmap.png` rasters the heatmap for the digest while `/chart/heatmap.svg` keeps serving the README byte-for-byte. Both come from one `heatmapCells()` so the two pictures cannot drift.
- `apps/cli/sync.ts` — work→docs contract: on existing pages only the frontmatter `icon:` and the `## Solution` section are regenerated, and `topics:` (LeetCode's `topicTags` as `{ name, slug }`, fetched by GraphQL) is filled once — on create, or on any run that finds it missing — never refreshed (delete the key to refetch; offline, the page is written without it and the next sync retries). `## Solution` is the latter bounded by `solutionEnd()` at the next unfenced top-level heading; human prose before it and any sections after it are never touched. Never hand-write solution pages or edit inside `## Solution`. Two classifications, two homes: the sidebar group is the README topic (`readmeTopics()`, first listing wins for a problem under two topics; a warm-up outside the plan groups under its category at `order: 0`, ahead of topic 1) and the `work/1/<Difficulty>/<Category>/` category, which only places an unplanned problem — the page's topic badges are LeetCode's tags, not either classification. Topics nest under their README phase (`## Phase N — Name` headings, shortened via `PHASE_ALIASES`): `content/(0N-<phase>)/<topic>/`. The topic `meta.ts` is script-owned and rewritten every run (label, curriculum order, `TOPIC_ICONS` icon, `display: "group"`); the phase `meta.ts` is written once when missing (`Phase N: Name`, `order: N`) and hand-owned after — rename its title freely. Never rewriting it loses nothing: its order and name are also the folder name, so a README change to either lands in a new folder with a fresh meta. The phase folder is a Blume `(group)` — no route segment, so `/tree-dfs` is unchanged and a landing page there is one level deep, never at `/` — and the topic folder is the real segment; never put a topic `index.mdx` directly inside a `(group)`. A page is `rename`d when its topic or phase changes; a folder every page has left is deleted (climbing into an emptied phase folder) unless it still holds a hand-written `index.mdx` (sync never writes, moves, or deletes one — so page-relative asset paths in a moved landing page are yours to fix). Slugs come from `slugify()`, which glues a leading number to the next token (`1d-dynamic-programming`) because Blume strips `<digits>-` prefixes from routes. The hand-owned parts have their own owners: `## Approach` (a Mermaid flowchart tracing the page's code, placed *before* `## Solution` so a re-sync keeps it) is written per the `problem-approach` skill (`/problem-approach` fills every page missing one); the frontmatter `video:` (the NeetCode walkthrough, rendered as the red `Explanation` badge) is added by `bun run videos --write` (`apps/cli/videos.ts`).
- `apps/cli/sync.ts` — work→docs contract: on existing pages only the frontmatter `icon:` and the `## Solution` section are regenerated, and `topics:` (LeetCode's `topicTags` as `{ name, slug }`, fetched by GraphQL) and `issue:` (the URL of the problem's `problem`-labelled GitHub issue, `LC <num> · …`, listed via `github()` — rendered as the neutral `Issue #N` badge after `Explanation`) are filled once — on create, or on any run that finds them missing — never refreshed (delete a key to refetch; offline or without `gh` auth, the page is written without it and the next sync retries; a sync with nothing missing makes no request). Only a problem the README plan lists gets `issue:` — an unplanned warm-up has no catalog issue, so it is never looked up. `companies:` (`{ name, period, frequency }`: every company that asked the problem in the last six months, at the most recent of the `Thirty Days`/`Three Months`/`Six Months` windows it appears in and its frequency there, most recent first — the vocabulary is ONE module, `apps/docs/companies.ts`, shared by sync, the schema and both readers) is the exception that IS rewritten every run, since recency ages: it comes from the local DuckDB company-frequency database (`~/.local/share/duckdb/data/leetcode-company-frequency.db`, built by that project's `mise run lc:build`) via one `duckdb -readonly -json` query, and where the database or the `duckdb` CLI is missing (CI) the step is skipped and pages keep the key as it is. `ProblemBadges.astro` renders it as a TypeTable-style table under the badge row (company pill · asked within · frequency bar), each pill linking to `companyHref()` — the company's Appendix card, filed A–Z among the glossary terms (category `Company`, no definition, no hand-written table: derived from every page's `companies:`), whose Solved backlinks are the problems it asked, each with how recently. `## Solution` is the latter bounded by `solutionEnd()` at the next unfenced top-level heading; human prose before it and any sections after it are never touched. Never hand-write solution pages or edit inside `## Solution`. Two classifications, two homes: the sidebar group is the README topic (`readmeTopics()`, first listing wins for a problem under two topics; a warm-up outside the plan groups under its category at `order: 0`, ahead of topic 1) and the `work/1/<Difficulty>/<Category>/` category, which only places an unplanned problem — the page's topic badges are LeetCode's tags, not either classification. Topics nest under their README phase (`## Phase N — Name` headings, shortened via `PHASE_ALIASES`): `content/(0N-<phase>)/<topic>/`, with every problem page in the topic's `(problems)/` group as `<num>_<slug>.mdx` (a page is found by its frontmatter title, wherever it sits, so a layout change is one sync of `rename`s). The topic `meta.ts` is script-owned and rewritten every run (label, curriculum order, `TOPIC_ICONS` icon, `display: "page"`); the phase `meta.ts` is written once when missing (`Phase N: Name`, `order: N`) and hand-owned after — rename its title freely. Never rewriting it loses nothing: its order and name are also the folder name, so a README change to either lands in a new folder with a fresh meta. The phase folder is a Blume `(group)` — no route segment, so `/tree-dfs` is unchanged and a landing page there is one level deep, never at `/` — and the topic folder is the real segment; never put a topic `index.mdx` directly inside a `(group)`. A page is `rename`d when its topic or phase changes; a folder every page has left is deleted (climbing through an emptied `(problems)` and topic into an emptied phase folder) unless it still holds a hand-written `index.mdx` (sync never writes, moves, or deletes one — so page-relative asset paths in a moved landing page are yours to fix). Slugs come from `slugify()`, which glues a leading number to the next token (`1d-dynamic-programming`) because Blume strips `<digits>-` prefixes from routes. The hand-owned parts have their own owners: `## Approach` (a Mermaid flowchart tracing the page's code, placed *before* `## Solution` so a re-sync keeps it) is written per the `problem-approach` skill (`/problem-approach` fills every page missing one); the frontmatter `video:` (the NeetCode walkthrough, rendered as the red `Explanation` badge) is added by `bun run videos --write` (`apps/cli/videos.ts`).
- `apps/cli/work.ts` — the `work/` layout: bucket paths, `isSolution()`/`solvedInBucket()` (the stub test, shared with `close-solved.ts`), `firstSolved()` (one `git log`, ET dates, keyed by LC number so past layout moves don't matter), and `reviewQueues()` (what each window still owes). Everything that needs to know where a solution file lives, or when it was solved, goes through here.
- `apps/api/src/stats.ts` / `apps/cli/stats.ts` / `apps/cli/tui.ts` / `apps/cli/api.ts` — the read side. `buildStats()` is the ONE aggregation: phases, ladder, difficulty, per-topic temperature, gates, the 14-day due queue, and `heat` (every campaign day, zeros and future days included — the docs page windows the tail off it rather than asking a second question). Two readers consume it, the docs island and `bun run stats`, so its shape is both their contract: change all three together. `tui.ts` is hand-rolled ANSI (bars, sparklines, heat cells, alternate screen) on charts.ts's palette, and every chart differs by GLYPH as well as by colour so a piped or `NO_COLOR` dashboard still reads. The TUI recomputes nothing: the only local fact it shows is the `work/` solution count, which is inventory, not schedule.
- `README.md` live charts are Worker endpoints (`/chart/*.svg`, `/badge/gate.svg`, 5-min Camo cache); the docs `/progress` page fetches `/api/stats` client-side (`apps/docs/islands/ProgressDashboard.tsx`).
- `apps/api/src/stats.ts` / `apps/cli/stats.ts` / `apps/cli/tui.ts` / `apps/cli/api.ts` / `apps/docs/lib/stats.ts` — the read side. `buildStats()` is the ONE aggregation: phases, ladder, difficulty, `attempting` (open misses, via `MISS_WHERE` in `srs.ts` — the sweep day's definition), per-topic temperature, gates, the 14-day due queue, `heat` (every campaign day, zeros and future days included — the TUI windows its tail rather than asking a second question), `recent` (the ten problems most recently solved, dated by each one's first pass) and `year` (the 365 days ending today — always the calendar year to date — each split by difficulty into attempts and first solves; the docs cards window and bucket it themselves). Two readers consume it, the docs `/progress` islands and `bun run stats`, so its shape is their contract: change the Worker and both readers together (additive fields a reader ignores are safe). `tui.ts` is hand-rolled ANSI (bars, sparklines, heat cells, alternate screen) on charts.ts's palette, and every chart differs by GLYPH as well as by colour so a piped or `NO_COLOR` dashboard still reads. The TUI recomputes nothing: the only local fact it shows is the `work/` solution count, which is inventory, not schedule.
- `README.md` live charts are Worker endpoints (`/chart/*.svg`, `/badge/gate.svg`, 5-min Camo cache). The docs `/progress` page is a custom page, `apps/docs/pages/progress.astro` (no content folder, so outside the sidebar and prev/next; its header tab is its link), mounting five LeetCode-style React cards from `components/progress/` with `client:load` — imported by the page, never used from MDX, so they are not in `islands/` — `SolvedRing` (difficulty gauge + "Attempting"), `SubmissionHeatmap` and `SubmissionChart` sharing one row (the heatmap: the last six months in month blocks, the README's colour ramp as theme.css `--heat-0..4`, its attempts / active days / max streak counted from the cells it draws; the chart: this calendar year as stacked Easy/Med./Hard bars per month or week, first solves or every attempt, via two shadcn `ToggleGroup`s), `TopicBubbles` (the campaign topics circle-packed by `d3-hierarchy`, filled by solved share), `RecentSolves` (the ten most recent, linked through `redirects.ts`) — composed from shadcn/ui (`components/ui/{card,chart,skeleton,toggle,toggle-group}.tsx`, Recharts under `chart`, Radix under the toggles) on Blume's tokens: `apps/docs/theme.css` maps shadcn's names onto `--blume-*` (never `accent`, which is Blume's brand colour — vendored components that use it, like `toggle.tsx`, are retokened to `background`/`muted`) and gives shadcn's `data-slot` parts their border colour. They share `lib/stats.ts` (`useStats()`), so the page makes ONE `/api/stats` request however many cards hydrate. shadcn sources live outside `islands/` (every `.tsx` there becomes an island) and import `lib/utils` relatively; `components.json` + `tsconfig.json` exist for the shadcn CLI and `tsc`, so after `shadcn add` rewrite `@/…` imports to relative ones (house style) — and check `package.json`: the CLI has twice installed an unrelated `cn` package for `lib/utils` and skipped real deps (`class-variance-authority`). Blume turns every tsconfig `paths` target into a Vite alias AND a dev dep-scan glob (`<target>/**/*.astro`…), so `paths` maps only `@/components`, `@/lib`, `@/hooks` — each bare and `/*`, since `components.json` names the bare forms — never `@/*` → `./*`: that glob reaches through `node_modules/blume`, where Vite's scanner reads a `<script>` inside a `RootLayout.astro` comment as a tag and `blume dev` skips dependency pre-bundling. Blume's `.prose :where(a, p, ol)` rules ignore `not-prose`, so island markup overrides them with `!` utilities, as Blume's own components do.
- `apps/docs/blume.config.ts` — site base `/leetcode`; imports `apps/docs/redirects.ts`, sync-generated (`/<num>` → `/<topic>/<slug>`, one row per page, exact root-relative paths — Blume adds the base and, for the static Pages build, emits a meta-refresh page per rule plus `blume-redirects.json`); `README.md` campaign table doubles as topic-map input to `sync.ts` (`readmeTopics()`, `TOPIC_ALIASES`, `PHASE_ALIASES`).
- Old `.github/srs/` JSON state, its `srs-*` Actions, and the one-shot `import-srs.ts` importer are RETIRED and deleted — do not resurrect; git history is the record.
## Runtime/Tooling Preferences
- **Bun only**: run scripts with `bun apps/cli/<name>.ts` (or the root `bun run` aliases), install with `bun install --frozen-lockfile`. One workspace (`apps/*`), one root `bun.lock`. Node 22 appears only in `deploy.yml` because Blume requires it.
- **Near-zero runtime npm dependencies** — SVG, PNG, terminal ANSI, HMAC (WebCrypto), GraphQL are hand-rolled; Actions scripts use Bun builtins + `fetch` only. The **one** exception is the digest email: `apps/api/src/email.tsx` renders React Email (`react`, `react-dom`, `@react-email/components`, `@react-email/render`) inside the Worker, because hand-rolling table-based email HTML that survives Gmail *and* Outlook is not worth owning. It costs ~235 KB gzipped of a 3 MB budget, needs no `nodejs_compat` (it resolves to `renderToReadableStream`), and requires `"jsx": "react-jsx"` in `apps/api/tsconfig.json`. Do not extend this exception to any other module.
- **Near-zero runtime npm dependencies** — SVG, PNG, terminal ANSI, HMAC (WebCrypto), GraphQL are hand-rolled; Actions scripts use Bun builtins + `fetch` only. Two exceptions, each confined to one surface. The digest email: `apps/api/src/email.tsx` renders React Email (`react`, `react-dom`, `@react-email/components`, `@react-email/render`) inside the Worker, because hand-rolling table-based email HTML that survives Gmail *and* Outlook is not worth owning. It costs ~235 KB gzipped of a 3 MB budget, needs no `nodejs_compat` (it resolves to `renderToReadableStream`), and requires `"jsx": "react-jsx"` in `apps/api/tsconfig.json`. And the docs `/progress` islands: shadcn/ui (`recharts`, `radix-ui`, `class-variance-authority`, `clsx`, `tailwind-merge`) plus `d3-hierarchy` for the bubble packing, client-side in `apps/docs` only. Do not extend either exception to any other module.
- Local GitHub auth falls back to `gh auth token`; scripts run fine outside Actions.
## Testing & QA
+1 -1
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@@ -9,7 +9,7 @@
</p>
<p align="center">
<sub>8-week interview-prep fight camp. Each phase is a milestone; each topic an issue; each problem a sub-issue.<br>
<sub>Interview-prep fight camp: eight weeks of topics, a review phase, then a 30-day interview sprint to Dec 5. Each phase is a milestone; each topic an issue; each problem a sub-issue.<br>
New topic Mon–Fri, gate on Saturday, Sunday off — every solve comes back at <strong>+3</strong> and <strong>+7</strong> days,
the two windows that keep the rest day clear (a Thursday solve's +3 slides to Monday).<br>
Charts are live from the SRS Worker, never committed: pushing a solution or tapping the daily digest moves them within ~5 min.</sub>
+1
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@@ -1,3 +1,4 @@
GH_PAT=github_pat_or_gho_token_with_issues_and_projects_rw
WEBHOOK_SECRET=random_hex_matching_the_repo_webhook
LINK_KEY=random_hex_signing_one_tap_links
OPENROUTER_API_KEY=sk-or-v1_key_for_the_docs_assistant
+6 -3
View File
@@ -17,9 +17,12 @@ Live at `https://srs-api.prdlk.workers.dev`.
- **The repo owns the plan** — `data/schedule.json`, human-edited,
bundled at deploy. Git history is its audit log. Each date is a
`ScheduledDay`: `topics` (one or more topic issues), `problems` (a set day,
fixed numbers), `gate` (Saturday's blind set, verbatim), or `sweep` (redo
every miss, nothing new). Numbers a `gate` or `problems` entry names are
`RESERVED`: the drill and gate samplers never draw them.
fixed numbers), `review` (a `Review <N> — <Phase>` issue with its problems
in solve order; Mon/Tue/Thu/Fri only), `gate` (Saturday's blind set,
verbatim; `[]` skips that week's checkpoint), or `sweep` (redo every miss,
nothing new). Numbers a `gate`, `problems` or `review` entry names are
`RESERVED`: the drill and gate samplers never draw them. The catalog
reconcile reports any drift between a `review` entry and its issue.
- The GitHub Project mirror writes `Target Date` and nothing else: it is
best-effort, so failures log warnings and never block a D1 write, and topic
rows are never written. SRS stage and first-attempt result stay in D1 only —
+24 -3
View File
@@ -22,7 +22,28 @@
"2026-09-28": { "topics": [24] },
"2026-09-29": { "topics": [25] },
"2026-09-30": { "topics": [26] },
"2026-10-01": { "problems": [399, 261, 909, 77, 52] },
"2026-10-02": { "sweep": true },
"2026-10-03": { "gate": [347, 1254, 1971, 131, 494, 986] }
"2026-10-01": { "review": { "issue": 225, "title": "Review 1 — Linear Structures", "problems": [205, 974, 209, 34, 42] } },
"2026-10-02": { "review": { "issue": 226, "title": "Review 2 — Linear Structures", "problems": [290, 525, 189, 1004, 84] }, "sweep": true },
"2026-10-03": { "gate": [] },
"2026-10-05": { "review": { "issue": 227, "title": "Review 3 — Linear Structures", "problems": [643, 128, 162, 71, 4] } },
"2026-10-08": { "review": { "issue": 229, "title": "Review 5 — Nodal & Grid", "problems": [876, 19, 36] } },
"2026-10-09": { "review": { "issue": 230, "title": "Review 6 — Nodal & Grid", "problems": [92, 82, 380] } },
"2026-11-02": { "review": { "issue": 228, "title": "Review 4 — Linear Structures", "problems": [496, 80, 901, 76, 224] } },
"2026-11-06": { "review": { "issue": 231, "title": "Review 7 — Nodal & Grid", "problems": [143, 86, 289] } },
"2026-11-09": { "review": { "issue": 232, "title": "Review 8 — Nodal & Grid", "problems": [61, 138] } },
"2026-11-10": { "review": { "issue": 233, "title": "Review 9 — Hierarchical", "problems": [100, 112, 530, 1046, 103, 124] } },
"2026-11-12": { "review": { "issue": 234, "title": "Review 10 — Hierarchical", "problems": [572, 543, 703, 105, 295] } },
"2026-11-13": { "review": { "issue": 235, "title": "Review 11 — Hierarchical", "problems": [101, 637, 173, 621, 502] } },
"2026-11-16": { "review": { "issue": 236, "title": "Review 12 — Hierarchical", "problems": [108, 129, 373, 648, 212] } },
"2026-11-17": { "review": { "issue": 237, "title": "Review 13 — Relational", "problems": [1971, 695, 547, 433] } },
"2026-11-19": { "review": { "issue": 238, "title": "Review 14 — Relational", "problems": [130, 261, 909, 1462] } },
"2026-11-20": { "review": { "issue": 239, "title": "Review 15 — Relational", "problems": [286, 1254, 721, 399] } },
"2026-11-23": { "review": { "issue": 240, "title": "Review 16 — Relational", "problems": [1091, 802, 269] } },
"2026-11-24": { "review": { "issue": 241, "title": "Review 17 — Decision Space", "problems": [746, 228, 17, 77, 213, 63, 122] } },
"2026-11-27": { "review": { "issue": 242, "title": "Review 18 — Decision Space", "problems": [22, 90, 139, 120, 45, 253, 72] } },
"2026-11-30": { "review": { "issue": 243, "title": "Review 19 — Decision Space", "problems": [79, 131, 91, 494, 763, 986, 920] } },
"2026-12-01": { "review": { "issue": 244, "title": "Review 20 — Decision Space", "problems": [300, 647, 97, 221, 918, 452, 52] } },
"2026-12-03": { "sweep": true },
"2026-12-04": { "sweep": true },
"2026-12-05": { "gate": [] }
}
+289
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@@ -0,0 +1,289 @@
/**
* POST /ask — the docs assistant's backend.
*
* The docs are a static GitHub Pages site, and Blume's own assistant route is
* server-rendered (it reads the provider key per request), so the site points
* `ai.assistant.endpoint` here instead. This speaks the Blume island's wire
* contract (`blume/components/islands/hooks.ts`):
*
* - request: `{ messages: [{ role, content }], page: { path } }` as JSON,
* `path` the base-stripped route the reader is on;
* - response: the answer as a plain UTF-8 text stream; any non-2xx shows the
* island's error notice, and a 503 whose body starts "The assistant is not
* configured" shows that body verbatim.
*
* Validation matches Blume's generated route: 1–40 user/assistant messages of
* string content, ≤ 24 000 chars serialized, a 64 KB body, and only role and
* content ever reach the model, so the endpoint cannot be repurposed as an
* open LLM proxy with a caller's own system prompt.
*
* Grounding reads what the site already publishes: `llms-full.txt`, every
* page's Markdown under `# Title` / `Source: <url>`. The page the reader is on
* goes in first, then the best keyword matches, within Blume's default budget
* (6 pages, 2 000 chars each, 10 000 total), under Blume's grounded system
* prompt — answer only from the excerpts, cite pages as `[Title](/route)`.
*
* The model call is OpenRouter's OpenAI-compatible chat endpoint over plain
* `fetch` (no SDK — see the repo's near-zero-dependency rule), streamed, with
* `reasoning.effort: "none"`, for the model the `ASK_MODEL` var names (a
* wrangler.jsonc change swaps it); its SSE deltas are re-emitted as bare text. The
* reader closing the panel aborts the request, which aborts the model call.
*/
const BODY_LIMIT = 64 * 1024;
const MAX_MESSAGES = 40;
const MAX_CHARS = 24_000;
const MAX_RESULTS = 6;
const EXCERPT_CHARS = 2000;
const CONTEXT_BUDGET = 10_000;
/** Lead-in kept before the matched region of a long page. */
const EXCERPT_LEAD = 160;
/** How long one isolate reuses the parsed corpus (the edge caches the fetch as long). */
const CORPUS_TTL_MS = 5 * 60_000;
const SYSTEM_PROMPT =
"You are a helpful documentation assistant for this project, a LeetCode interview-prep campaign: solved problems grouped by topic, with guides to the techniques behind them. Answer the user's question using ONLY the documentation excerpts below. Each excerpt is headed by its page as `## Page Title (/route)`. If the answer is not covered by the excerpts, say you don't know and suggest where in the docs to look — do not invent details. Always cite the pages you drew from, and write every citation as a Markdown link to that page using its route, e.g. [Page Title](/route).";
/** Words that match everything and rank nothing. */
const STOPWORDS = new Set(
"a an and are as at be but by can do does for from how i if in is it its me my of on or so that the this to was what when where which who why with you your".split(
" ",
),
);
interface AskMessage {
role: "user" | "assistant";
content: string;
}
interface Section {
title: string;
route: string;
body: string;
/** Lower-cased title + body, searched per query term. */
text: string;
titleText: string;
}
// ── corpus ───────────────────────────────────────────────────────
let corpus: { at: number; sections: Section[] } | undefined;
/** `llms-full.txt` split into pages, cached per isolate for `CORPUS_TTL_MS`. */
async function sections(docsUrl: string): Promise<Section[]> {
if (corpus && Date.now() - corpus.at < CORPUS_TTL_MS) return corpus.sections;
const res = await fetch(`${docsUrl}/llms-full.txt`, {
cf: { cacheTtl: CORPUS_TTL_MS / 1000, cacheEverything: true },
});
if (!res.ok) throw new Error(`GET llms-full.txt -> ${res.status}`);
const full = await res.text();
const heads = [...full.matchAll(/^# (.+)\nSource: (\S+)$/gm)];
const out = heads.map((head, i): Section => {
const start = head.index + head[0].length;
const end = heads[i + 1]?.index ?? full.length;
const body = full.slice(start, end).replace(/\n-{3,}\s*$/, "").trim();
const title = head[1]!.trim();
return {
title,
route: new URL(head[2]!).pathname.replace(/(.)\/+$/, "$1"),
body,
text: `${title}\n${body}`.toLowerCase(),
titleText: title.toLowerCase(),
};
});
corpus = { at: Date.now(), sections: out };
return out;
}
// ── retrieval ────────────────────────────────────────────────────
function terms(text: string): string[] {
return [...new Set(text.toLowerCase().match(/[a-z0-9][a-z0-9+#-]*/g) ?? [])].filter(
(t) => !STOPWORDS.has(t) && (t.length > 1 || /\d/.test(t)),
);
}
function occurrences(haystack: string, needle: string): number {
let count = 0;
for (let at = haystack.indexOf(needle); at !== -1; at = haystack.indexOf(needle, at + needle.length)) count++;
return count;
}
/**
* The pages to inject, best first: term frequency damped by log and weighted
* by rarity across pages (idf), a title hit counting triple — so "217" or
* "sliding window" lands on the page named that rather than every page that
* mentions it in passing.
*/
function rank(all: Section[], query: string[]): Section[] {
const idf = new Map(
query.map((t) => [t, Math.log(1 + all.length / (1 + all.filter((s) => s.text.includes(t)).length))]),
);
return all
.map((section) => {
let score = 0;
for (const t of query) {
const tf = occurrences(section.text, t);
if (tf) score += idf.get(t)! * (Math.log(1 + tf) + (section.titleText.includes(t) ? 3 : 0));
}
return { section, score };
})
.filter((r) => r.score > 0)
.sort((a, b) => b.score - a.score)
.slice(0, MAX_RESULTS)
.map((r) => r.section);
}
/** A page whole when it fits, else `chars` from just before its first query hit. */
function excerpt(section: Section, query: string[], chars: number): string {
if (section.body.length <= chars) return section.body;
const lower = section.body.toLowerCase();
const hits = query.map((t) => lower.indexOf(t)).filter((i) => i !== -1);
const start = hits.length ? Math.max(0, Math.min(...hits) - EXCERPT_LEAD) : 0;
return `${start > 0 ? "…" : ""}${section.body.slice(start, start + chars)}…`;
}
/** The system prompt: the current page, then the ranked pages, within the budget. */
async function instructions(env: Env, messages: AskMessage[], path: string | undefined): Promise<string> {
const all = await sections(env.DOCS_URL);
// A follow-up ("and in Python?") leans on the question before it.
const asked = messages.filter((m) => m.role === "user").slice(-2).map((m) => m.content);
const query = terms(asked.join(" "));
const current = path ? all.find((s) => s.route === path) : undefined;
const picked = [...(current ? [current] : []), ...rank(all, query).filter((s) => s !== current)];
const parts: string[] = [];
let budget = CONTEXT_BUDGET;
for (const section of picked) {
if (budget < 200) break;
const text = excerpt(section, query, Math.min(EXCERPT_CHARS, budget));
parts.push(`## ${section.title} (${section.route})\n\n${text}`);
budget -= text.length;
}
return parts.length ? `${SYSTEM_PROMPT}\n\n# Documentation excerpts\n\n${parts.join("\n\n")}` : SYSTEM_PROMPT;
}
// ── request handling ─────────────────────────────────────────────
/** The validated conversation, or a reason it was turned away. */
function readMessages(body: unknown): AskMessage[] | undefined {
if (!body || typeof body !== "object" || !("messages" in body) || !Array.isArray(body.messages)) return;
const raw: unknown[] = body.messages;
if (raw.length === 0 || raw.length > MAX_MESSAGES || JSON.stringify(raw).length > MAX_CHARS) return;
const messages: AskMessage[] = [];
for (const m of raw) {
if (!m || typeof m !== "object" || !("role" in m) || !("content" in m)) return;
if ((m.role !== "user" && m.role !== "assistant") || typeof m.content !== "string") return;
messages.push({ role: m.role, content: m.content });
}
return messages;
}
function readPath(body: unknown): string | undefined {
if (!body || typeof body !== "object" || !("page" in body)) return;
const page = body.page;
if (!page || typeof page !== "object" || !("path" in page) || typeof page.path !== "string") return;
return page.path.replace(/(.)\/+$/, "$1");
}
/** OpenRouter's SSE (`data: {…choices[0].delta.content…}`) → the answer's bare text. */
function textStream(sse: ReadableStream<Uint8Array>): ReadableStream<Uint8Array> {
const decoder = new TextDecoder();
const encoder = new TextEncoder();
let buffer = "";
return sse.pipeThrough(
new TransformStream<Uint8Array, Uint8Array>({
transform(chunk, controller) {
buffer += decoder.decode(chunk, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop() ?? "";
for (const line of lines) {
if (!line.startsWith("data: ")) continue; // `: OPENROUTER PROCESSING` keep-alives
const data = line.slice(6).trim();
if (data === "[DONE]") continue;
let event: unknown;
try {
event = JSON.parse(data);
} catch {
continue;
}
if (event && typeof event === "object" && "error" in event) {
// After the 200: the stream just ends, and the island shows its
// error notice for an empty answer.
console.error(`ask: provider error mid-stream: ${JSON.stringify(event.error)}`);
continue;
}
if (!event || typeof event !== "object" || !("choices" in event) || !Array.isArray(event.choices)) continue;
const choice: unknown = event.choices[0];
if (!choice || typeof choice !== "object" || !("delta" in choice)) continue;
const delta = choice.delta;
if (!delta || typeof delta !== "object" || !("content" in delta)) continue;
const content = delta.content;
if (typeof content === "string" && content) controller.enqueue(encoder.encode(content));
}
},
}),
);
}
export async function handleAsk(request: Request, env: Env): Promise<Response> {
// The docs serve from the custom domain and the Pages origin; reflect the
// requesting origin only when it is on the allowlist (as /api/stats does).
const allowed = env.DOCS_ORIGIN.split(",").map((o) => o.trim());
const origin = request.headers.get("origin");
const cors = {
"access-control-allow-origin": origin && allowed.includes(origin) ? origin : allowed[0]!,
"access-control-allow-methods": "POST",
"access-control-allow-headers": "content-type",
"access-control-max-age": "86400",
vary: "Origin",
};
const text = (body: string, status: number) =>
new Response(body, { status, headers: { ...cors, "content-type": "text/plain; charset=utf-8" } });
if (request.method === "OPTIONS") return new Response(null, { status: 204, headers: cors });
if (request.method !== "POST") return text("POST only.", 405);
const raw = await request.arrayBuffer();
if (raw.byteLength > BODY_LIMIT) return text("Request too large: the body must be at most 64 KB.", 413);
let body: unknown;
try {
body = JSON.parse(new TextDecoder().decode(raw));
} catch {
body = undefined;
}
const messages = readMessages(body);
if (!messages) return text("Invalid request: send 1-40 user/assistant messages with string content.", 400);
if (!env.OPENROUTER_API_KEY) return text("The assistant is not configured: set OPENROUTER_API_KEY.", 503);
let system: string;
try {
system = await instructions(env, messages, readPath(body));
} catch (err) {
// Ungrounded beats unanswered: the prompt still forbids inventing details.
console.warn(`ask: grounding unavailable: ${err}`);
system = SYSTEM_PROMPT;
}
const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
authorization: `Bearer ${env.OPENROUTER_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: env.ASK_MODEL,
stream: true,
reasoning: { effort: "none" },
messages: [{ role: "system", content: system }, ...messages],
}),
signal: request.signal,
});
if (!res.ok || !res.body) {
console.error(`ask: POST /chat/completions -> ${res.status} ${await res.text().catch(() => "")}`);
return text("Failed to generate a response.", res.status === 429 ? 429 : 502);
}
return new Response(textStream(res.body), {
headers: { ...cors, "content-type": "text/plain; charset=utf-8", "cache-control": "no-store" },
});
}
+53 -7
View File
@@ -9,9 +9,16 @@
* issue title — the title carries only the LC number and the problem's name,
* so relabelling a problem is enough to move it and titles stay readable.
* The `problem` label is what marks a sub-issue as curriculum.
*
* A topic's problems are its sub-issues PLUS those re-parented into a
* `Review <N> — <Phase>` issue (reviews.ts recovers which topic each came
* from). Walking topic sub-issues alone would silently freeze a moved
* problem's row: upserts only, so nothing breaks — its labels just stop
* syncing.
*/
import { DIFFICULTIES, SETS, workingDay } from "./srs.ts";
import { DIFFICULTIES, SCHEDULE, SETS, workingDay } from "./srs.ts";
import type { GitHub } from "./github.ts";
import { movedFromTopics, readReviews, type Review } from "./reviews.ts";
const TITLE_RE = /^LC (\d+) · (.+)$/;
@@ -21,6 +28,37 @@ const DEFER_FROM = "2026-09-28";
export interface ReconcileReport {
topics: number;
problems: number;
/** Where schedule.json's review days disagree with the Review issues; empty when in step. */
reviewDrift: string[];
}
/**
* schedule.json copies each review day's issue, title and problems so the
* digest and RESERVED need no GitHub call; the issues stay the truth. Compared
* here because this is the one place that already holds both.
*/
function reviewDrift(reviews: Review[]): string[] {
const drift: string[] = [];
const booked = new Map<number, string>();
for (const [date, day] of Object.entries(SCHEDULE)) {
if (!day.review) continue;
const { issue, title, problems } = day.review;
booked.set(issue, date);
const review = reviews.find((r) => r.number === issue);
if (!review) {
drift.push(`${date}: #${issue} is not a "Review <N> — <Phase>" issue`);
continue;
}
if (review.title !== title) drift.push(`${date}: #${issue} is titled "${review.title}", schedule says "${title}"`);
const actual = review.problems.map((p) => Number(p.title.match(TITLE_RE)?.[1]));
if (actual.join(",") !== problems.join(",")) {
drift.push(`${date}: #${issue} holds LC ${actual.join(", ")}, schedule says LC ${problems.join(", ")}`);
}
}
for (const review of reviews) {
if (!booked.has(review.number)) drift.push(`#${review.number} "${review.title}" has no day in schedule.json`);
}
return drift;
}
/** Label names on one issue payload, narrowed with guards rather than cast. */
@@ -72,24 +110,32 @@ export async function reconcileCatalog(db: D1Database, gh: GitHub): Promise<Reco
);
}
const reviews = await readReviews(gh);
const drift = reviewDrift(reviews);
for (const line of drift) console.warn(`catalog: review drift — ${line}`);
const moved = movedFromTopics(reviews);
let problems = 0;
let deferredSeen = 0;
for (const t of topics) {
const members: { number: number; title: string; labels: string[] }[] = [];
for await (const raw of gh.list(`/repos/${gh.repo}/issues/${t.number}/sub_issues`)) {
if (!raw || typeof raw !== "object") continue;
if (!("number" in raw) || typeof raw.number !== "number") continue;
if (!("title" in raw) || typeof raw.title !== "string") continue;
const labels = labelNames(raw);
members.push({ number: raw.number, title: raw.title, labels: labelNames(raw) });
}
members.push(...(moved.get(t.number) ?? []));
for (const { number, title, labels } of members) {
if (!labels.includes("problem")) continue; // non-curriculum sub-issue
const m = raw.title.match(TITLE_RE);
const m = title.match(TITLE_RE);
if (!m) {
console.warn(`catalog: #${raw.number} is a problem but not titled "LC <n> · <name>"`);
console.warn(`catalog: #${number} is a problem but not titled "LC <n> · <name>"`);
continue;
}
const difficulty = DIFFICULTIES.find((d) => labels.includes(`diff:${d}`));
const set = SETS.find((s) => labels.includes(`set:${s}`));
if (!difficulty || !set) {
console.warn(`catalog: #${raw.number} is missing a diff:/set: label — skipped`);
console.warn(`catalog: #${number} is missing a diff:/set: label — skipped`);
continue;
}
const lc = Number(m[1]);
@@ -106,7 +152,7 @@ export async function reconcileCatalog(db: D1Database, gh: GitHub): Promise<Reco
ON CONFLICT(lc_number) DO UPDATE SET
issue = ?2, topic_issue = ?3, title = ?4, difficulty = ?5, set_label = ?6`,
)
.bind(lc, raw.number, t.number, m[2]!, difficulty, set, defer),
.bind(lc, number, t.number, m[2]!, difficulty, set, defer),
);
problems++;
}
@@ -116,5 +162,5 @@ export async function reconcileCatalog(db: D1Database, gh: GitHub): Promise<Reco
for (let i = 0; i < statements.length; i += 50) {
await db.batch(statements.slice(i, i + 50));
}
return { topics: topics.length, problems };
return { topics: topics.length, problems, reviewDrift: drift };
}
+34 -9
View File
@@ -8,13 +8,15 @@
* Retrieval rules: review, drill and sweep rows carry number + difficulty
* only — never the topic, never a solution link. `DigestRow` has no field for
* either, so the rule holds by construction. The plan's own sections — a
* learning day's topics (core, then the optional "if time" list) and a set
* day's problems — are the only labeled, linked ones. At most REVIEW_CAP (3)
* learning day's topics (core, then the optional "if time" list), a set
* day's problems, and a review day's `Review <N>` issue — are the only
* labeled, linked ones. At most REVIEW_CAP (5)
* reviews per day; drills fill toward DAILY_CAP (6) only when the due queue
* is light, and never on a sweep day, which assigns every open miss and
* nothing new. Overflow is levelled, not stacked: sendDigest gives every
* review past the cap a concrete future date, ≤ REVIEW_CAP per day, oldest
* first. Sunday is a two-line rest note.
* first. Sunday is a two-line rest note. Day N/M counts the interview sprint
* (SPRINT_START → the plan's last day); before it, the email counts down.
*
* Idempotency: email_log keys sends by ET date — a same-day re-send is a
* no-op unless forced; the body itself is deterministic (drill picks are
@@ -22,14 +24,15 @@
* and a re-run finds nothing left over the cap.
*/
import {
CAMPAIGN_DAYS,
MISS_WHERE,
type ProblemRow,
RESERVED,
REVIEW_CAP,
SCHEDULE,
SPRINT_DAYS,
SPRINT_START,
type ScheduledDay,
addDays,
campaignDay,
campaignWeek,
dueReviews,
isoWeek,
@@ -37,6 +40,8 @@ import {
lookupProblems,
pickDrills,
prettyDate,
sprintDay,
sprintWeek,
streak,
weekdayOf,
} from "./srs.ts";
@@ -84,8 +89,7 @@ async function openMisses(db: D1Database): Promise<ProblemRow[]> {
.prepare(
`SELECT p.* FROM problems p
JOIN attempts a ON a.lc_number = p.lc_number
WHERE a.id = (SELECT MAX(id) FROM attempts WHERE lc_number = p.lc_number)
AND a.result = 'fail' AND p.stage != 'retired'
WHERE ${MISS_WHERE}
ORDER BY a.date, p.lc_number`,
)
.all<ProblemRow>();
@@ -106,9 +110,13 @@ export async function collectDigest(env: Env, date: string): Promise<DigestData>
const drills =
rest || plan.sweep ? [] : await pickDrills(db, date, DAILY_CAP - Math.min(due.length, DAILY_CAP));
const sprint = sprintDay(date);
const data: DigestData = {
day: prettyDate(date),
progress: `Day ${campaignDay(date)} of ${CAMPAIGN_DAYS} · Week ${campaignWeek(date)}`,
progress:
sprint >= 1
? `Day ${sprint} of ${SPRINT_DAYS} · Week ${sprintWeek(date)}`
: `The ${SPRINT_DAYS}-day interview sprint starts ${prettyDate(SPRINT_START)}`,
streak: await streak(db, date),
rest,
topics: [],
@@ -150,6 +158,18 @@ export async function collectDigest(env: Env, date: string): Promise<DigestData>
data.assigned = rows.map((p) => topicRow(env, p));
}
// A review day: the `Review <N> — <Phase>` issue's problems, in its solve
// order, linked like a set day's and headed by the issue itself.
if (plan.review) {
const { rows, missing } = await lookupProblems(db, plan.review.problems);
if (missing.length) console.warn(`digest ${date}: review problems not in the catalog: ${missing.join(", ")}`);
data.review = {
title: plan.review.title,
url: `https://github.com/${env.REPO}/issues/${plan.review.issue}`,
rows: rows.map((p) => topicRow(env, p)),
};
}
// A sweep day works the miss log: every problem still standing on a
// failure, minus the ones today's review list already carries.
if (plan.sweep) {
@@ -193,8 +213,13 @@ export async function collectDigest(env: Env, date: string): Promise<DigestData>
export async function buildDigest(env: Env, date: string): Promise<Digest> {
const data = await collectDigest(env, date);
const { html, text } = await renderDigest(data);
const sprint = sprintDay(date);
const until = 1 - sprint;
return {
subject: `(Day ${campaignDay(date)}/${CAMPAIGN_DAYS}) LeetCode Daily Digest`,
subject:
sprint >= 1
? `(Day ${sprint}/${SPRINT_DAYS}) LeetCode Daily Digest`
: `(Sprint in ${until} ${until === 1 ? "day" : "days"}) LeetCode Daily Digest`,
html,
text,
};
+41 -8
View File
@@ -71,6 +71,13 @@ const LAST_SEEN: Record<string, string> = {
retired: "retired",
};
// A review day's rules, the same ones its GitHub issue carries — one sentence
// here so the HTML and the plain-text alternative cannot word them apart.
const REVIEW_RULES =
"90 minutes, top to bottom — easy to hard; skip what is already solved. " +
"Before each submit, say the time and space complexity out loud and trace one edge case. " +
"Whatever is unfinished stays open.";
// ── data model ───────────────────────────────────────────────────
/** A review or drill line: number + difficulty + one-tap links, nothing else. */
@@ -101,7 +108,7 @@ export interface TopicSection {
export interface DigestData {
/** "Tuesday, August 25" */
day: string;
/** "Day 9 of 56 · Week 2" */
/** "Day 9 of 30 · Week 2" of the sprint (SPRINT_DAYS, derived from the plan), or its countdown before day 1. */
progress: string;
streak: number;
rest: boolean;
@@ -109,6 +116,8 @@ export interface DigestData {
topics: TopicSection[];
/** A set day's problems, assigned by number rather than by topic. */
assigned?: TopicRow[];
/** A review day: the `Review <N> — <Phase>` issue and its problems in solve order. */
review?: { title: string; url: string; rows: TopicRow[] };
reviews: DigestRow[];
/** Reviews past the daily cap; levelled onto the coming days. */
carried: number;
@@ -293,11 +302,13 @@ function DigestEmail({ data }: { data: DigestData }) {
const load = data.reviews.length + data.drills.length + (data.sweep?.length ?? 0);
const lead = data.topics[0]
? `, starting with ${data.topics[0].name}`
: data.assigned
? ", starting with today's set"
: data.sweep
? " — sweep day, nothing new"
: "";
: data.review
? `, starting with ${data.review.title}`
: data.assigned
? ", starting with today's set"
: data.sweep
? " — sweep day, nothing new"
: "";
const preview = data.rest ? "Rest day — nothing to do but rest." : `${load} to work through today${lead}.`;
const passed = data.yesterday.total - data.yesterday.failed.length;
@@ -350,6 +361,19 @@ function DigestEmail({ data }: { data: DigestData }) {
</Section>
))}
{data.review ? (
<Section style={{ marginTop: "28px" }}>
<Text style={label}>Today's review</Text>
<Text style={{ fontSize: "16px", fontWeight: 600, margin: "0 0 8px" }}>
<Link href={data.review.url} style={{ color: INK, textDecoration: "underline" }}>
{data.review.title}
</Link>
</Text>
<Text style={hint}>{REVIEW_RULES}</Text>
<TopicTable rows={data.review.rows} />
</Section>
) : null}
{data.assigned ? (
<Section style={{ marginTop: "28px" }}>
<Text style={label}>Today's set</Text>
@@ -407,14 +431,14 @@ function DigestEmail({ data }: { data: DigestData }) {
</>
)}
{/* Eight weeks at a glance — the one thing here that is pure
{/* The whole campaign at a glance — the one thing here that is pure
encouragement rather than instruction. */}
<Section style={{ marginTop: "28px" }}>
<Text style={label}>Every day you showed up</Text>
<Link href={data.progressUrl}>
<Img
src={data.heatmapUrl}
alt="Attempt heatmap across the eight-week campaign"
alt="Attempt heatmap across the whole campaign"
width="552"
style={{ border: `1px solid ${BORDER}`, borderRadius: "8px", display: "block", width: "100%" }}
/>
@@ -473,6 +497,15 @@ function plainDigest(data: DigestData): string {
out.push(" If time — only once the core is done inside the clock:", ...topic.ifTime.map(linked));
}
}
if (data.review) {
out.push(
"",
`TODAY'S REVIEW — ${data.review.title}`,
` ${data.review.url}`,
REVIEW_RULES,
...data.review.rows.map(linked),
);
}
if (data.assigned) {
out.push(
"",
+3 -1
View File
@@ -5,7 +5,8 @@
* The gate half is a topic-blind quiz. When the plan fixes the set
* (`gate` in data/schedule.json) that list IS the gate, verbatim — every
* number must be a catalog problem, or the issue is not created, because a
* `/done` on an uncatalogued number can never be logged. Otherwise the set
* `/done` on an uncatalogued number can never be logged; an empty list skips
* the week's checkpoint outright. Otherwise the set
* is sampled: one unsolved optional problem per topic scheduled this week
* (which is why daily drills only draw from earlier weeks), never one the
* plan has reserved. The recap half is generated data, deliberately NOT a
@@ -77,6 +78,7 @@ export async function createReviewIssue(env: Env, gh: GitHub, date: string): Pro
// week without topics, across every topic that still has an unsolved pool.
const picks: { p: ProblemRow; fallback: boolean }[] = [];
const planned = SCHEDULE[date]?.gate;
if (planned?.length === 0) return { created: false, reason: `the plan skips the week ${week} checkpoint` };
if (planned) {
const { rows, missing } = await lookupProblems(db, planned);
if (missing.length) {
+6 -2
View File
@@ -9,6 +9,7 @@
* Writes are owner-only (webhook author check, HMAC one-tap links, bearer
* admin routes); everything else is read-only public.
*/
import { handleAsk } from "./ask.ts";
import { reconcileCatalog } from "./catalog.ts";
import { gateBadge, heatmapChart, heatmapPng, ladderChart, progressChart } from "./charts.ts";
import { sendDigest } from "./digest.ts";
@@ -17,6 +18,7 @@ import { type GitHub, github } from "./github.ts";
import { timingSafeEqual, verifyLink, verifyWebhook } from "./links.ts";
import { type Mirror, projectMirror } from "./mirror.ts";
import {
CAMPAIGN_DAYS,
CAMPAIGN_START,
type LogOutcome,
type Stage,
@@ -322,6 +324,8 @@ export default {
if (path.startsWith("/admin/") && request.method === "POST") {
return await handleAdmin(request, env, path);
}
// The docs assistant (the static Pages site's `ai.assistant.endpoint`).
if (path === "/ask") return await handleAsk(request, env);
if (path === "/chart/progress.svg") {
return new Response(await progressChart(env.DB), { headers: SVG_HEADERS });
@@ -330,10 +334,10 @@ export default {
return new Response(await ladderChart(env.DB), { headers: SVG_HEADERS });
}
if (path === "/chart/heatmap.svg") {
return new Response(await heatmapChart(env.DB, CAMPAIGN_START, 56), { headers: SVG_HEADERS });
return new Response(await heatmapChart(env.DB, CAMPAIGN_START, CAMPAIGN_DAYS), { headers: SVG_HEADERS });
}
if (path === "/chart/heatmap.png") {
return new Response(await heatmapPng(env.DB, CAMPAIGN_START, 56), { headers: PNG_HEADERS });
return new Response(await heatmapPng(env.DB, CAMPAIGN_START, CAMPAIGN_DAYS), { headers: PNG_HEADERS });
}
if (path === "/badge/gate.svg") {
return new Response(await gateBadge(env.DB), { headers: SVG_HEADERS });
+140
View File
@@ -0,0 +1,140 @@
/**
* `Review <N> — <Phase>` issues: the transfer phase's day blocks. Problems were
* re-parented into them from their topics (`replace_parent` — a GitHub issue
* has exactly one parent), so a topic's sub-issue list no longer names every
* problem it owns. This module is the ONE recovery of that ownership: each
* moved problem's topic is its last `parent_issue_removed` event naming a
* topic, which GitHub records and no human edits.
*
* Two consumers must agree on it: the Worker's catalog reconcile
* (catalog.ts — else a moved problem's D1 row stops syncing its labels) and
* the CLI's topic rules (apps/cli/topics.ts — else close-topics and the
* release bodies change when a problem moves). Hence it lives here, the lower
* layer, the way apps/cli already imports srs.ts.
*
* Library: side-effect-free on import; the caller passes its GitHub client —
* the Worker's or the CLI's, which share the two members used here.
*/
import type { GitHub } from "./github.ts";
/** `Review 7 — Nodal & Grid`, never the Worker's weekly `Review — Week N` gate. */
const REVIEW_TITLE = /^Review \d+ — /;
const TOPIC_TITLE = /^Topic \d+ — /;
/** One problem issue as a topic or review lists it. */
export interface Problem {
number: number;
/** `LC <num> · <Name>`. */
title: string;
/** ISO instant the issue closed; null while it is open. */
closedAt: string | null;
labels: string[];
}
export interface Review {
number: number;
title: string;
open: boolean;
/** Markdown body: `**Scheduled:**` / `**Phase:**` / `**Load:**` lines the release reads. */
body: string;
/** Sub-issues in the order GitHub lists them (the solve order). */
problems: (Problem & { fromTopic: number | null })[];
}
/**
* Every `Review <N> — <Phase>` issue, open and closed, with its sub-issues.
* One GraphQL request per 50 `review`-labelled issues (the Worker's weekly
* gate issues share the label and are dropped by title): the sub-issues and
* the timeline filter ride along, so recovering each problem's source topic
* costs no extra request. That matters in the Worker, whose nightly cron
* spends its subrequest budget on the catalog walk and the digest.
*/
export async function readReviews(gh: Pick<GitHub, "repo" | "graphql">): Promise<Review[]> {
const [owner, name] = gh.repo.split("/");
const reviews: Review[] = [];
for (let after: string | null = null; ; ) {
// Shape fixed by the query below; GraphQL errors throw in gh.graphql().
const data = (await gh.graphql(
`query($owner: String!, $name: String!, $after: String) {
repository(owner: $owner, name: $name) {
issues(labels: ["review"], first: 50, after: $after, orderBy: { field: CREATED_AT, direction: ASC }) {
pageInfo { hasNextPage endCursor }
nodes {
number title state body
subIssues(first: 50) {
pageInfo { hasNextPage }
nodes {
number title state closedAt
labels(first: 20) { nodes { name } }
timelineItems(itemTypes: [PARENT_ISSUE_REMOVED_EVENT], last: 10) {
nodes { ... on ParentIssueRemovedEvent { parent { number title } } }
}
}
}
}
}
}
}`,
{ owner, name, after },
)) as {
repository: {
issues: {
pageInfo: { hasNextPage: boolean; endCursor: string | null };
nodes: {
number: number;
title: string;
state: "OPEN" | "CLOSED";
body: string;
subIssues: {
pageInfo: { hasNextPage: boolean };
nodes: {
number: number;
title: string;
state: "OPEN" | "CLOSED";
closedAt: string | null;
labels: { nodes: { name: string }[] };
timelineItems: { nodes: { parent: { number: number; title: string } | null }[] };
}[];
};
}[];
};
};
};
const page = data.repository.issues;
for (const issue of page.nodes) {
if (!REVIEW_TITLE.test(issue.title)) continue;
// A review is one day's handful; more than a page means a mis-linked issue.
if (issue.subIssues.pageInfo.hasNextPage) throw new Error(`review #${issue.number} has over 50 sub-issues`);
reviews.push({
number: issue.number,
title: issue.title,
open: issue.state === "OPEN",
body: issue.body,
problems: issue.subIssues.nodes.map((p) => ({
number: p.number,
title: p.title,
closedAt: p.state === "CLOSED" ? p.closedAt : null,
labels: p.labels.nodes.map((l) => l.name),
// Oldest first, so the last topic it left is its owner; a later
// review-to-review move names a review and is skipped.
fromTopic:
p.timelineItems.nodes.findLast((e) => e.parent && TOPIC_TITLE.test(e.parent.title))?.parent?.number ?? null,
})),
});
}
if (!page.pageInfo.hasNextPage) break;
after = page.pageInfo.endCursor;
}
return reviews.sort((a, b) => a.number - b.number);
}
/** Topic -> the problems moved out of it into Review issues, in review order. */
export function movedFromTopics(reviews: Review[]): Map<number, Problem[]> {
const moved = new Map<number, Problem[]>();
for (const review of reviews) {
for (const { fromTopic, ...problem } of review.problems) {
if (fromTopic !== null) moved.set(fromTopic, [...(moved.get(fromTopic) ?? []), problem]);
}
}
return moved;
}
+33 -2
View File
@@ -15,6 +15,12 @@ import {
addDays,
campaignDay,
campaignWeek,
CAMPAIGN_DAYS,
CAMPAIGN_END,
SPRINT_DAYS,
SPRINT_START,
sprintDay,
sprintWeek,
etDate,
etHour,
isRestDay,
@@ -28,8 +34,8 @@ import {
workingDay,
} from "./srs.ts";
/** Every ET date of the campaign, plus the deferred-Hard tail. */
const CALENDAR = Array.from({ length: 70 }, (_, i) => addDays("2026-08-17", i));
/** Every ET date of the campaign (sprint included), plus two weeks of ladder tail. */
const CALENDAR = Array.from({ length: CAMPAIGN_DAYS + 14 }, (_, i) => addDays("2026-08-17", i));
describe("DST-proof cron guard", () => {
test("digest fires only at ET hour 8 — EDT (UTC-4)", () => {
@@ -67,6 +73,15 @@ describe("date math (noon-UTC anchored)", () => {
expect(campaignWeek("2026-08-30")).toBe(2);
expect(campaignWeek("2026-08-31")).toBe(3);
});
test("sprint math: day 1 is SPRINT_START, the last is the plan's end, weeks run Mon–Sun", () => {
expect(sprintDay(SPRINT_START)).toBe(1);
expect(sprintDay(addDays(SPRINT_START, -1))).toBe(0); // countdown, never "Day 0 of N"
expect(sprintDay(CAMPAIGN_END)).toBe(SPRINT_DAYS);
expect(sprintWeek("2026-11-06")).toBe(1); // Friday start
expect(sprintWeek("2026-11-08")).toBe(1); // its Sunday closes week 1
expect(sprintWeek("2026-11-09")).toBe(2);
expect(sprintWeek(CAMPAIGN_END)).toBe(5);
});
test("iso week is stable across a week", () => {
expect(isoWeek("2026-08-24")).toBe(isoWeek("2026-08-29"));
expect(isoWeek("2026-08-30")).toBe(isoWeek("2026-08-24")); // Sun ends the ISO week
@@ -134,6 +149,8 @@ describe("the plan", () => {
expect(isRestDay(date)).toBe(false);
if (day.gate) expect(weekdayOf(date)).toBe(6);
if (day.topics) expect(weekdayOf(date)).toBeLessThan(6);
// Reviews run Mon/Tue and Thu/Fri; Wednesday and the weekend stay free.
if (day.review) expect([1, 2, 4, 5]).toContain(weekdayOf(date));
}
});
@@ -150,6 +167,20 @@ describe("the plan", () => {
expect(topicDate(999)).toBeUndefined();
});
test("a review is booked once, and no problem sits in two reviews", () => {
const issues = new Set<number>();
const problems = new Set<number>();
for (const day of Object.values(SCHEDULE)) {
if (!day.review) continue;
expect(issues.has(day.review.issue)).toBe(false);
issues.add(day.review.issue);
for (const lc of day.review.problems) {
expect(problems.has(lc)).toBe(false);
problems.add(lc);
}
}
});
test("every gate and set problem is reserved from the samplers", () => {
for (const day of Object.values(SCHEDULE)) {
for (const lc of [...(day.gate ?? []), ...(day.problems ?? [])]) {
+72 -11
View File
@@ -22,8 +22,8 @@ import scheduleJson from "../data/schedule.json";
// ── dates (America/New_York) ─────────────────────────────────────
/** Day 1. The last day is not a constant: see CAMPAIGN_END below the schedule. */
export const CAMPAIGN_START = "2026-08-17";
export const CAMPAIGN_DAYS = 56;
const ET_DATE = new Intl.DateTimeFormat("en-CA", {
timeZone: "America/New_York",
@@ -130,15 +130,26 @@ export function prettyDate(date: string): string {
* One calendar day of the plan. Most days teach topics (one, or two when the
* plan doubles up); the rest are named by what they assign instead: a fixed
* gate set for Saturday's review issue, a fixed problem set (a "B-set" day),
* or a sweep — redo every miss, nothing new. Absent dates are unplanned:
* the ladder still runs, the digest just has nothing new to say.
* a transfer-phase review day, or a sweep — redo every miss, nothing new.
* Absent dates are unplanned: the ladder still runs, the digest just has
* nothing new to say.
*/
export interface ScheduledDay {
/** Topic issues taught that day, in the order the digest presents them. */
topics?: number[];
/** Problems assigned by number instead of by topic. */
problems?: number[];
/** Saturday: the blind set, fixed by the plan rather than sampled. */
/**
* A `Review <N> — <Phase>` day (Mon/Tue/Thu/Fri only): the issue, its title
* and its problems in solve order. The issue's sub-issues are the truth; this
* copy is what the digest and RESERVED read without calling GitHub, and the
* catalog reconcile reports any drift between the two.
*/
review?: { issue: number; title: string; problems: number[] };
/**
* Saturday: the blind set, fixed by the plan rather than sampled. An empty
* list skips that week's checkpoint — no issue is created.
*/
gate?: number[];
/** Miss-log sweep: every problem whose last attempt failed, and no new ones. */
sweep?: boolean;
@@ -146,6 +157,39 @@ export interface ScheduledDay {
export const SCHEDULE: Record<string, ScheduledDay> = scheduleJson;
/**
* The last day the plan books anything — the campaign ends there. Derived,
* not declared: booking a later day (the review phase ran the plan past its
* original eight weeks) moves the digest's "Day N/M", the stats' `heat` and
* the heatmap charts with it, and nothing can disagree about when it ends.
*/
export const CAMPAIGN_END = Object.keys(SCHEDULE).sort().at(-1)!;
export const CAMPAIGN_DAYS = daysBetween(CAMPAIGN_START, CAMPAIGN_END) + 1;
/**
* Day 1 of the interview sprint: the plan restarted here after two weeks off,
* with every open Review issue rebooked between this Friday and CAMPAIGN_END.
* Only the start is declared; the length is derived like CAMPAIGN_DAYS, so
* booking a later day lengthens both. The digest counts days and weeks from
* here; the heatmaps and /api/stats keep the whole campaign.
*/
export const SPRINT_START = "2026-11-06";
export const SPRINT_DAYS = daysBetween(SPRINT_START, CAMPAIGN_END) + 1;
/** 1-based sprint day; zero or negative before SPRINT_START. */
export function sprintDay(date: string): number {
return daysBetween(SPRINT_START, date) + 1;
}
/**
* 1-based sprint week, Mon–Sun like the campaign's, so the Friday start makes
* week 1 three days long and every later week a whole one.
*/
export function sprintWeek(date: string): number {
const monday = addDays(SPRINT_START, -((weekdayOf(SPRINT_START) + 6) % 7));
return Math.floor(daysBetween(monday, date) / 7) + 1;
}
/** Date the schedule teaches a topic on, if it teaches it at all. */
export function topicDate(topic: number): string | undefined {
for (const [date, day] of Object.entries(SCHEDULE)) {
@@ -161,13 +205,17 @@ export function topicWeek(topic: number): number | undefined {
}
/**
* Every problem the plan names outright — a gate's blind set or a set day's
* list. The plan owns these: the samplers (daily drills, a sampled gate)
* never draw them, so a gate problem stays unseen until its Saturday and a
* set day's problems wait for their day.
* Every problem the plan names outright — a gate's blind set, a set day's
* list, or a review day's. The plan owns these: the samplers (daily drills,
* a sampled gate) never draw them, so a gate problem stays unseen until its
* Saturday and a set or review day's problems wait for their day.
*/
export const RESERVED: ReadonlySet<number> = new Set(
Object.values(SCHEDULE).flatMap((day) => [...(day.gate ?? []), ...(day.problems ?? [])]),
Object.values(SCHEDULE).flatMap((day) => [
...(day.gate ?? []),
...(day.problems ?? []),
...(day.review?.problems ?? []),
]),
);
// ── deterministic sampling ───────────────────────────────────────
@@ -310,6 +358,15 @@ export async function lookupProblems(
export const DUE_WHERE = `stage != 'retired' AND next_review IS NOT NULL AND next_review <= ?1
AND (defer_until IS NULL OR defer_until <= ?1)`;
/**
* What an open miss means, in one place: a problem `p` whose most recent
* attempt (highest id) failed and that has not retired. The sweep day works
* these and the stats' "attempting" count is how many there are, so the two
* cannot disagree. Expects `problems p` joined to `attempts a` on lc_number.
*/
export const MISS_WHERE = `a.id = (SELECT MAX(id) FROM attempts WHERE lc_number = p.lc_number)
AND a.result = 'fail' AND p.stage != 'retired'`;
/** Reviews due on/before `date`, oldest first — the overflow carry order. */
export async function dueReviews(db: D1Database, date: string): Promise<ProblemRow[]> {
const { results } = await db
@@ -380,8 +437,12 @@ export async function dueToday(db: D1Database, date: string): Promise<{ date: st
};
}
/** Reviews surfaced per day; the digest levels everything past this forward. */
export const REVIEW_CAP = 3;
/**
* Reviews surfaced per day; the digest levels everything past this forward.
* 5, not 3, since the two-week break: at 3 a day the ~110-review backlog would
* outlast the sprint by a fortnight.
*/
export const REVIEW_CAP = 5;
/**
* Load-level an overloaded review queue: everything due beyond today's
+90 -3
View File
@@ -8,12 +8,17 @@
* srs.ts turns a topic's days-since-last-attempt into a band, so "which
* concepts have gone cold" has exactly one definition and the dashboard is
* free to colour it however it likes.
*
* `recent`, `attempting` and `year` feed the docs page's LeetCode-style cards
* (recently solved, the solved ring, the heatmap and the submissions chart).
* They are additive: the terminal dashboard ignores them.
*/
import {
CAMPAIGN_DAYS,
CAMPAIGN_START,
DIFFICULTIES,
DUE_WHERE,
MISS_WHERE,
addDays,
campaignDay,
campaignWeek,
@@ -54,6 +59,12 @@ interface TopicStat {
temperature: Temperature;
}
/** Days in `year`: the 365 ending today, which always covers the current calendar year to date. */
const YEAR_DAYS = 365;
/** How many problems `recent` lists. */
const RECENT_LIMIT = 10;
async function buildTopics(db: D1Database, today: string): Promise<TopicStat[]> {
// Three shapes, three statements: batch() carries one row type, and casting
// its results apart would cost more than the round trips it saves.
@@ -195,9 +206,9 @@ export async function buildStats(db: D1Database, today: string): Promise<object>
);
const queue = dates.map((date, i) => ({ date, due: queueRows[i]?.results[0]?.n ?? 0 }));
// Attempts per campaign day, every day present. This is the heatmap's data
// model — the docs page reads the tail of it for "last 7 days" rather than
// asking a second question that could answer differently.
// Attempts per campaign day, every day present. This is the README heatmap's
// data model — the terminal dashboard lays it out by campaign week and reads
// its tail for "last 14 days" rather than asking a second question.
const end = addDays(CAMPAIGN_START, CAMPAIGN_DAYS - 1);
const { results: heatRows } = await db
.prepare(
@@ -215,16 +226,92 @@ export async function buildStats(db: D1Database, today: string): Promise<object>
return { date, attempts: row?.attempts ?? 0, passes: row?.passes ?? 0 };
});
// The ten problems most recently solved, dated by each one's FIRST passing
// attempt — when it was completed, not when it was last re-solved (LeetCode's
// "Recent AC"). Same-day ties fall back to log order.
const { results: recentRows } = await db
.prepare(
`SELECT p.lc_number AS lc, p.title AS title, p.difficulty AS difficulty,
MIN(a.date) AS date, MIN(a.id) AS seq
FROM attempts a JOIN problems p ON p.lc_number = a.lc_number
WHERE a.result = 'pass'
GROUP BY p.lc_number
ORDER BY date DESC, seq DESC
LIMIT ?1`,
)
.bind(RECENT_LIMIT)
.all<{ lc: number; title: string; difficulty: string; date: string; seq: number }>();
const recent = recentRows.map(({ lc, title, difficulty, date }) => ({ lc, title, difficulty, date }));
// Problems still standing on a failure — the sweep day's miss log, counted.
const missRow = await db
.prepare(
`SELECT COUNT(*) AS n FROM problems p
JOIN attempts a ON a.lc_number = p.lc_number
WHERE ${MISS_WHERE}`,
)
.first<{ n: number }>();
// The past year, one entry per day (zeros included), split by difficulty two
// ways: every logged attempt, and every first solve — the same first-pass
// date `recent` uses. `heat` stays campaign-scoped (the terminal dashboard
// lays it out by campaign week); this is the calendar-scoped view the docs
// heatmap and submissions chart window and bucket for themselves.
const yearStart = addDays(today, -(YEAR_DAYS - 1));
const { results: attemptRows } = await db
.prepare(
`SELECT a.date AS date, p.difficulty AS difficulty,
COUNT(*) AS n,
SUM(CASE WHEN a.result = 'pass' THEN 1 ELSE 0 END) AS passes
FROM attempts a JOIN problems p ON p.lc_number = a.lc_number
WHERE a.date BETWEEN ?1 AND ?2
GROUP BY a.date, p.difficulty`,
)
.bind(yearStart, today)
.all<{ date: string; difficulty: string; n: number; passes: number | null }>();
const { results: solvedRows } = await db
.prepare(
`SELECT date, difficulty, COUNT(*) AS n
FROM (SELECT MIN(a.date) AS date, p.difficulty AS difficulty
FROM attempts a JOIN problems p ON p.lc_number = a.lc_number
WHERE a.result = 'pass'
GROUP BY p.lc_number)
WHERE date BETWEEN ?1 AND ?2
GROUP BY date, difficulty`,
)
.bind(yearStart, today)
.all<{ date: string; difficulty: string; n: number }>();
const year = Array.from({ length: YEAR_DAYS }, (_, i) => ({
date: addDays(yearStart, i),
passes: 0,
attempts: Object.fromEntries(DIFFICULTIES.map((d) => [d, 0])),
solved: Object.fromEntries(DIFFICULTIES.map((d) => [d, 0])),
}));
const yearIndex = new Map(year.map((d, i) => [d.date, i]));
for (const row of attemptRows) {
const day = year[yearIndex.get(row.date) ?? -1];
if (!day || !(row.difficulty in day.attempts)) continue;
day.attempts[row.difficulty] = row.n;
day.passes += row.passes ?? 0;
}
for (const row of solvedRows) {
const day = year[yearIndex.get(row.date) ?? -1];
if (day && row.difficulty in day.solved) day.solved[row.difficulty] = row.n;
}
return {
generated: new Date().toISOString(),
campaign: { day: campaignDay(today), week: campaignWeek(today), start: CAMPAIGN_START, days: CAMPAIGN_DAYS },
phases: [...phases.values()],
ladder,
difficulty,
attempting: missRow?.n ?? 0,
topics: await buildTopics(db, today),
gates,
streak: await streak(db, today),
queue,
heat,
recent,
year,
};
}
+6 -1
View File
@@ -34,8 +34,13 @@
"TO_EMAIL": "prnk28@gmail.com",
"DOCS_URL": "https://lc.prd.lk",
"DOCS_ORIGIN": "https://lc.prd.lk,https://prdlk.github.io",
"PUBLIC_URL": "https://srs-api.prdlk.workers.dev"
"PUBLIC_URL": "https://srs-api.prdlk.workers.dev",
// The docs assistant's OpenRouter model (POST /ask). `:free` variants share
// an upstream pool and answer 429 when it is saturated.
"ASK_MODEL": "qwen/qwen3.8-27b:free"
}
// Secrets (wrangler secret put): GH_PAT, WEBHOOK_SECRET, LINK_KEY.
// OPENROUTER_API_KEY (the docs assistant, POST /ask) is the repo's Actions
// secret of that name, put by deploy.yml before every deploy.
}
+61 -11
View File
@@ -1,26 +1,34 @@
#!/usr/bin/env bun
/**
* Close the GitHub issue for every topic whose required (core) problems are done.
* Close the GitHub issue for every topic whose required (core) problems are
* done, and for every `Review <N> — <Phase>` issue whose problems all are.
*
* Each `topic`-labelled issue owns its problems as GitHub sub-issues, and each
* problem carries exactly one `set:` label — `set:core` is required, while
* `set:optional` and `set:deferred` are extra credit. A topic is finished when
* every one of its core sub-issues is closed; optional/deferred state is
* ignored, matching the day rule in each topic body ("Core problems first").
* The rule lives in topics.ts, shared with release-topics.ts.
* Problems re-parented into Review issues still count for their topic. The
* rules live in topics.ts, shared with release-topics.ts.
*
* A Review issue is a fixed day's assignment, so it closes when every one of
* its sub-issues is closed, whatever their set. Closing it fires the Worker's
* `review`-label webhook, which scores only issues with a gate record — these
* have none, so that is a no-op.
*
* Like close-solved.ts this reconciles state instead of reacting to an event
* payload: re-runs are no-ops, backfilling needs no special casing, and only
* open topics are touched, so reopening a problem never reopens its topic.
* open topics/reviews are touched, so reopening a problem never reopens either.
*
* bun apps/cli/close-topics.ts # close finished topics
* bun apps/cli/close-topics.ts # close finished topics and reviews
* bun apps/cli/close-topics.ts --dry-run # report only, touch nothing
*
* Auth: GH_TOKEN / GITHUB_TOKEN, else falls back to `gh auth token`.
*/
import { movedFromTopics, readReviews } from "../api/src/reviews.ts";
import { github } from "./github.ts";
import { markdownTable, printTable, writeStepSummary } from "./report.ts";
import { coreSet, readProblems } from "./topics.ts";
import { completion, coreSet, readProblems } from "./topics.ts";
const DRY =
process.argv.includes("--dry-run") ||
@@ -55,13 +63,16 @@ for await (const raw of gh.list(`/repos/${gh.repo}/issues?labels=topic&state=ope
}
topics.sort((a, b) => a.number - b.number);
const reviews = await readReviews(gh);
const moved = movedFromTopics(reviews);
// ── reconcile ────────────────────────────────────────────────────
const report: string[][] = [];
let closed = 0;
for (const topic of topics) {
const core = coreSet(await readProblems(gh, topic.number));
const core = coreSet(await readProblems(gh, topic.number, moved));
const progress = `${core.all.length - core.pending.length}/${core.all.length}`;
// A topic with no core sub-issues has nothing to complete: never close it,
@@ -95,19 +106,58 @@ for (const topic of topics) {
closed++;
}
// ── reviews ──────────────────────────────────────────────────────
const reviewReport: string[][] = [];
let reviewsClosed = 0;
for (const review of reviews.filter((r) => r.open)) {
const set = completion(review.problems);
const progress = `${set.all.length - set.pending.length}/${set.all.length}`;
// An empty review would read as done; leave it for a human, like a topic
// with no core set.
if (set.all.length === 0) {
reviewReport.push([`#${review.number}`, review.title, progress, "no sub-issues"]);
continue;
}
if (set.pending.length > 0) {
reviewReport.push([`#${review.number}`, review.title, progress, `open: ${set.pending.map((n) => `#${n}`).join(" ")}`]);
continue;
}
if (DRY) {
reviewReport.push([`#${review.number}`, review.title, progress, "would close"]);
continue;
}
await gh.closeIssue(
review.number,
`Review complete — all ${set.all.length} problems closed ` +
`(${set.all.map((n) => `#${n}`).join(", ")}).\n\n` +
"Closed automatically by `close-topics`.",
);
reviewReport.push([`#${review.number}`, review.title, progress, "closed"]);
reviewsClosed++;
}
// ── report ───────────────────────────────────────────────────────
const rows = [["topic", "title", "core", "status"], ...report];
printTable(rows);
const reviewRows = [["review", "title", "closed", "status"], ...reviewReport];
console.log();
printTable(reviewRows);
const finished = report.filter((r) => r[3] === "closed" || r[3] === "would close");
const finished = new Set(["closed", "would close"]);
const topicsDone = report.filter((r) => finished.has(r[3]!)).length;
const reviewsDone = reviewReport.filter((r) => finished.has(r[3]!)).length;
console.log(
`\n${topics.length} open topics · ` +
`${DRY ? `would close ${finished.length}` : `closed ${closed}`}`,
`\n${topics.length} open topics · ${DRY ? `would close ${topicsDone}` : `closed ${closed}`}` +
`\n${reviewReport.length} open reviews · ${DRY ? `would close ${reviewsDone}` : `closed ${reviewsClosed}`}`,
);
await writeStepSummary(
`### close-topics${DRY ? " (dry run)" : ""}\n\n` +
`${topics.length} open topic issues, ${finished.length} with a complete core set.\n\n` +
(report.length ? `${markdownTable(rows)}\n` : "No open topics.\n"),
`${topics.length} open topic issues, ${topicsDone} with a complete core set.\n\n` +
(report.length ? `${markdownTable(rows)}\n` : "No open topics.\n") +
`\n${reviewReport.length} open review issues, ${reviewsDone} with every problem closed.\n\n` +
(reviewReport.length ? `${markdownTable(reviewRows)}\n` : "No open reviews.\n"),
);
+219 -41
View File
@@ -9,12 +9,20 @@
* slug and kept forever. Only the campaign problems linked from README.md
* are ever fetched, and paid-only problems are skipped because GraphQL
* returns null content for them.
* Everything goes through /graphql: Cloudflare challenges the REST endpoints
* (`/api/problems/all/`, `/api/submissions/`) with a 403 for any non-browser
* client, signed in or not.
*
* A `solutions` table tracks the lifecycle of each work/ file by LC number:
* `created_at` (backfilled from the file's birthtime on every picker run),
* `last_tested` and `last_submitted` (stamped on exit 0 of leetcode-cli).
* The test picker sorts by last_tested, the submit picker by created_at, and
* submit hides anything with a last_submitted.
* The test picker sorts by last_tested, the submit picker by created_at.
* Local stamps die with the db and birthtimes with a clone, so at most once
* per 24h (`meta.history_fetched_at`) the signed-in profile's submission
* history is folded in: a problem's first submission caps `created_at`, its
* latest raises `last_submitted` and `last_tested` (a submission is a judge
* run too; LeetCode keeps no record of `leetcode test` runs). Folding only
* ever moves a timestamp outward, so a re-run is a no-op.
*
* Library: side-effect-free on import — nothing is opened or fetched until
* problemDb() is called. Index upserts never touch the description column, so
@@ -40,8 +48,8 @@ export interface SolutionActivity {
lastSubmitted: string | null;
}
const DIFFICULTY = ["", "Easy", "Medium", "Hard"] as const;
const INDEX_TTL_MS = 24 * 60 * 60 * 1000;
const DIFFICULTY = { EASY: "Easy", MEDIUM: "Medium", HARD: "Hard" } as const;
const TTL_MS = 24 * 60 * 60 * 1000;
export const DB_PATH = join(
process.env.XDG_DATA_HOME ?? join(homedir(), ".local", "share"),
@@ -62,50 +70,185 @@ export function readmeSlugs(markdown: string): string[] {
// ── remote fetches ───────────────────────────────────────────────
async function fetchIndex(): Promise<Problem[]> {
const res = await fetch("https://leetcode.com/api/problems/all/", {
headers: { "user-agent": "Mozilla/5.0" },
});
if (!res.ok) throw new Error(`GET /api/problems/all -> ${res.status} ${res.statusText}`);
const data = (await res.json()) as {
stat_status_pairs: Array<{
stat: {
frontend_question_id: number;
question__title: string;
question__title_slug: string;
};
difficulty: { level: 1 | 2 | 3 };
paid_only: boolean;
}>;
};
return data.stat_status_pairs
.map((p) => ({
id: p.stat.frontend_question_id,
title: p.stat.question__title,
slug: p.stat.question__title_slug,
difficulty: DIFFICULTY[p.difficulty.level] as Problem["difficulty"],
paidOnly: p.paid_only,
}))
.sort((a, b) => a.id - b.id);
/** leetcode-cli's login: the two cookies every signed-in request carries. */
export interface Credentials {
session: string;
csrfToken: string;
}
/** HTML problem statement, or null when LeetCode withholds it (paid-only). */
export async function fetchDescription(slug: string): Promise<string | null> {
/**
* POST one query to leetcode.com/graphql. Throws on an HTTP error or a
* response with no `data`; partial `errors` beside data are the caller's.
*/
async function graphql<T>(
query: string,
variables: Record<string, unknown>,
{ referer = "https://leetcode.com/", auth }: { referer?: string; auth?: Credentials } = {},
): Promise<T> {
const res = await fetch("https://leetcode.com/graphql", {
method: "POST",
headers: {
"content-type": "application/json",
"user-agent": "Mozilla/5.0",
referer: `https://leetcode.com/problems/${slug}/`,
referer,
...(auth && {
cookie: `LEETCODE_SESSION=${auth.session}; csrftoken=${auth.csrfToken}`,
"x-csrftoken": auth.csrfToken,
}),
},
body: JSON.stringify({
query: "query questionContent($titleSlug: String!) { question(titleSlug: $titleSlug) { content } }",
variables: { titleSlug: slug },
}),
body: JSON.stringify({ query, variables }),
});
if (!res.ok) throw new Error(`POST /graphql (${slug}) -> ${res.status} ${res.statusText}`);
const data = (await res.json()) as { data?: { question?: { content?: string | null } | null } };
return data.data?.question?.content ?? null;
if (!res.ok) throw new Error(`POST /graphql -> ${res.status} ${res.statusText}`);
const body = (await res.json()) as { data?: T | null; errors?: { message: string }[] };
if (!body.data) {
throw new Error(`POST /graphql: ${body.errors?.map((e) => e.message).join("; ") || "no data"}`);
}
return body.data;
}
/** Server-side cap on `limit` for the problem list. */
const INDEX_PAGE = 100;
async function fetchIndex(): Promise<Problem[]> {
type Page = {
problemsetQuestionListV2: {
totalLength: number;
questions: Array<{
questionFrontendId: string;
title: string;
titleSlug: string;
difficulty: keyof typeof DIFFICULTY;
paidOnly: boolean;
}>;
};
};
const page = async (skip: number) =>
(
await graphql<Page>(
`query problemIndex($skip: Int!, $limit: Int!) {
problemsetQuestionListV2(skip: $skip, limit: $limit) {
totalLength
questions { questionFrontendId title titleSlug difficulty paidOnly }
}
}`,
{ skip, limit: INDEX_PAGE },
{ referer: "https://leetcode.com/problemset/" },
)
).problemsetQuestionListV2;
// The first page names the total; the rest go six at a time.
const first = await page(0);
const questions = [...first.questions];
const skips = Array.from({ length: Math.ceil(first.totalLength / INDEX_PAGE) - 1 }, (_, i) => (i + 1) * INDEX_PAGE);
await Promise.all(
Array.from({ length: 6 }, async () => {
for (let skip = skips.shift(); skip !== undefined; skip = skips.shift()) {
questions.push(...(await page(skip)).questions);
}
}),
);
if (questions.length < first.totalLength) {
throw new Error(`problem index came back short: ${questions.length} of ${first.totalLength}`);
}
return questions
.map((q) => ({
id: Number(q.questionFrontendId),
title: q.title,
slug: q.titleSlug,
difficulty: DIFFICULTY[q.difficulty],
paidOnly: q.paidOnly,
}))
.filter((p) => Number.isInteger(p.id))
.sort((a, b) => a.id - b.id);
}
/** HTML problem statement, or null when LeetCode withholds it (paid-only). */
export async function fetchDescription(slug: string): Promise<string | null> {
const data = await graphql<{ question?: { content?: string | null } | null }>(
"query questionContent($titleSlug: String!) { question(titleSlug: $titleSlug) { content } }",
{ titleSlug: slug },
{ referer: `https://leetcode.com/problems/${slug}/` },
);
return data.question?.content ?? null;
}
/**
* The login leetcode-cli holds, read from where it keeps it: its own
* LEETCODE_SESSION + LEETCODE_CSRF_TOKEN override, else the OS keychain entry
* `leetcode login` writes through keytar (service `leetcode-cli`, account
* `auth`). Null when signed out, or when the login lives in leetcode-cli's
* encrypted-file fallback, whose key is the CLI's own.
*/
export function leetcodeCredentials(): Credentials | null {
const { LEETCODE_SESSION: session, LEETCODE_CSRF_TOKEN: csrfToken } = process.env;
if (session && csrfToken) return { session, csrfToken };
const lookup =
process.platform === "darwin"
? ["security", "find-generic-password", "-s", "leetcode-cli", "-a", "auth", "-w"]
: ["secret-tool", "lookup", "service", "leetcode-cli", "account", "auth"];
let stored: string;
try {
const out = Bun.spawnSync(lookup, { stderr: "ignore" });
if (!out.success) return null;
stored = out.stdout.toString();
} catch {
return null; // no keychain CLI on this machine
}
let parsed: unknown;
try {
parsed = JSON.parse(stored);
} catch {
return null;
}
if (
!parsed ||
typeof parsed !== "object" ||
!("session" in parsed) ||
typeof parsed.session !== "string" ||
!("csrfToken" in parsed) ||
typeof parsed.csrfToken !== "string"
) {
return null;
}
return { session: parsed.session, csrfToken: parsed.csrfToken };
}
/** One submission of the signed-in profile, any verdict. */
export interface Submission {
slug: string;
/** ISO timestamp. */
at: string;
}
/** Server-side cap on `limit` for the submission list. */
const SUBMISSION_PAGE = 20;
/** The signed-in profile's whole submission history, newest first. */
export async function fetchSubmissions(auth: Credentials): Promise<Submission[]> {
type Page = {
submissionList: { hasNext: boolean; submissions: Array<{ titleSlug: string; timestamp: string }> } | null;
};
const all: Submission[] = [];
for (let offset = 0; ; offset += SUBMISSION_PAGE) {
const { submissionList } = await graphql<Page>(
`query submissionList($offset: Int!, $limit: Int!) {
submissionList(offset: $offset, limit: $limit) {
hasNext
submissions { titleSlug timestamp }
}
}`,
{ offset, limit: SUBMISSION_PAGE },
{ referer: "https://leetcode.com/submissions/", auth },
);
// An expired session is answered with a null list, not an HTTP error.
if (!submissionList) throw new Error("submission history unavailable — session expired? run `leetcode login`");
for (const s of submissionList.submissions) {
all.push({ slug: s.titleSlug, at: new Date(Number(s.timestamp) * 1000).toISOString() });
}
if (!submissionList.hasNext) return all;
}
}
// ── the cache ────────────────────────────────────────────────────
@@ -149,14 +292,28 @@ export function problemDb(path = DB_PATH) {
const descState = db.query<{ paid_only: number; described: number }, [string]>(
"SELECT paid_only, description IS NOT NULL AS described FROM problems WHERE slug = ?1",
);
// MIN/MAX on TEXT compare ISO timestamps chronologically; COALESCE because
// SQLite's scalar MAX returns NULL when any argument is NULL.
const fold = db.query<never, [number, string, string]>(
`UPDATE solutions SET
created_at = MIN(created_at, ?2),
last_tested = MAX(COALESCE(last_tested, ''), ?3),
last_submitted = MAX(COALESCE(last_submitted, ''), ?3)
WHERE id = ?1`,
);
/** True when `key` has never been stamped or was stamped over 24h ago. */
const stale = (key: string) => {
const row = getMeta.get(key);
return !row || Date.now() - Number(row.value) > TTL_MS;
};
return {
path,
/** True when the index has never been fetched or is older than 24h. */
indexStale(): boolean {
const row = getMeta.get("index_fetched_at");
return !row || Date.now() - Number(row.value) > INDEX_TTL_MS;
return stale("index_fetched_at");
},
/** Pull the full index from leetcode.com and upsert it. Returns the count. */
@@ -228,6 +385,27 @@ export function problemDb(path = DB_PATH) {
).run(id, new Date().toISOString());
},
/** True when submission history has never been folded in or over 24h ago. */
historyStale(): boolean {
return stale("history_fetched_at");
},
/**
* Fold the profile's submissions (LC number → first and latest submission,
* ISO) into existing solution rows and stamp the refresh. Rows are never
* created here — the table holds work/ files only — and a timestamp only
* ever moves outward, so folding twice changes nothing. Returns the number
* of solutions that have submissions.
*/
foldHistory(history: Map<number, { first: string; last: string }>): number {
let matched = 0;
db.transaction(() => {
for (const [id, { first, last }] of history) matched += fold.run(id, first, last).changes;
setMeta.run("history_fetched_at", String(Date.now()));
})();
return matched;
},
close(): void {
db.close();
},
+102 -65
View File
@@ -1,32 +1,40 @@
#!/usr/bin/env bun
/**
* Publish one GitHub release per finished topic, versioned by timever
* Publish one GitHub release per finished topic and per finished
* `Review <N> — <Phase>` issue, versioned by timever
* (`YYYYMMDD.HHMMSS.NNNNNNNNN`, UTC — https://gist.github.com/twolfson/de1b004dd22536b8e668).
*
* "Finished" is topics.ts's rule — every core sub-issue closed — the same one
* close-topics.ts closes the topic issue on, and the version is the instant
* the LAST core problem closed. Keying off the sub-issues rather than the
* topic issue lets this run as the tail of Close Solved: the push that closes
* a topic's final core problem releases it in the same run, without waiting
* for close-topics to chain after it. The topic issue itself closes seconds
* later, on the same day.
* "Finished" is topics.ts's rule — a topic when every core problem is closed,
* a review when every one of its sub-issues is — the same one close-topics.ts
* closes the issue on, and the version is the instant the LAST required
* problem closed. Keying off the sub-issues rather than the topic/review issue
* lets this run as the tail of Close Solved: the push that closes the final
* required problem releases it in the same run, without waiting for
* close-topics to chain after it. The issue itself closes seconds later, on
* the same day.
*
* Each release is a changelog snapshot at that instant: the topic's problem
* sub-issues grouped as closed on the finish day (ET), closed earlier, and
* open at release, each with its set, difficulty, and the solution files as
* they stood in the tagged commit — the last main commit before the finish.
* Each release is a changelog snapshot at that instant: the issue's problems
* that had closed by then (a topic's sub-issues plus those since re-parented
* into Review issues, or a review's sub-issues in solve order — see
* topics.ts), grouped as closed on the finish day (ET) and closed earlier,
* each with its set, difficulty, and the solution files as they stood in the
* tagged commit — the last main commit before the finish. Problems still open
* at the finish are left out: the release records what finished, and an open
* optional problem is tracked by its issue (or its Review day), not here.
* apps/docs/lib/releases.ts reads these `### Closed …` tables back for the
* docs `/changelog` timeline, so their row shape is its contract.
*
* The tag is annotated and backdated (tagger date = finish), so
* `git tag --sort=taggerdate` reads as the campaign's history even for tags
* minted by a backfill. The release's own published date cannot be backdated
* (the API has no field for it), so the docs changelog dates each entry from
* this timever tag instead (`releasesDatedByTag` in apps/docs/blume.config.ts)
* this timever tag instead (apps/docs/lib/releases.ts)
* — the tag format is that contract.
*
* Reconciles instead of reacting: every finished topic without a release gets
* one, so a first run backfills the whole campaign; an existing release keeps
* its tag and commit and only has its body rewritten when render() would say
* something else. Re-runs with nothing new are no-ops.
* Reconciles instead of reacting: every finished topic or review without a
* release gets one, so a first run backfills the whole campaign; an existing
* release keeps its tag and commit and only has its body rewritten when
* render() would say something else. Re-runs with nothing new are no-ops.
* A release is found by the marker comment in its body, never by tag name, so
* reopening and re-closing a core problem can never mint a second release.
* A tag that exists without its release (a run that died between the two) is
@@ -40,9 +48,10 @@
* committer identity (the tagger).
*/
import { etDate } from "../api/src/srs.ts";
import { movedFromTopics, readReviews, type Problem } from "../api/src/reviews.ts";
import { github } from "./github.ts";
import { markdownTable, printTable, writeStepSummary } from "./report.ts";
import { coreSet, labelValue, readProblems, type Problem } from "./topics.ts";
import { completion, coreSet, labelValue, readProblems } from "./topics.ts";
import { ROOT, parseWorkPath } from "./work.ts";
const DRY =
@@ -62,9 +71,10 @@ function git(...args: string[]): string {
return run.stdout.toString().trim();
}
// ── topics ───────────────────────────────────────────────────────
// ── finished topics and reviews ──────────────────────────────────
interface Topic {
/** A topic or Review issue, as far as its release reads it. */
interface Issue {
number: number;
title: string;
milestone: string | null;
@@ -72,7 +82,7 @@ interface Topic {
}
/** Narrow one /issues element; the `topic` label filter cannot exclude PRs. */
function readTopic(value: unknown): Topic | undefined {
function readTopic(value: unknown): Issue | undefined {
if (!value || typeof value !== "object") return;
if ("pull_request" in value) return;
if (!("number" in value) || typeof value.number !== "number") return;
@@ -90,28 +100,46 @@ function readTopic(value: unknown): Topic | undefined {
}
interface Finished {
topic: Topic;
kind: "topic" | "review";
issue: Issue;
/** Topic: every problem it owns, by number. Review: its sub-issues, in solve order. */
problems: Problem[];
core: number[];
/** The set whose last close finished it: a topic's core, a review's every problem. */
required: number[];
finishedAt: string;
}
// Closed and open topics alike: the rule reads the sub-issues, so a topic
// finished moments ago (close-topics not yet run) releases now.
// Closed and open issues alike: the rules read the sub-issues, so a topic or
// review finished moments ago (close-topics not yet run) releases now.
const finished: Finished[] = [];
const reviews = await readReviews(gh);
const moved = movedFromTopics(reviews);
for await (const raw of gh.list(`/repos/${gh.repo}/issues?labels=topic&state=all`)) {
const topic = readTopic(raw);
if (!topic) continue;
const problems = await readProblems(gh, topic.number);
const issue = readTopic(raw);
if (!issue) continue;
const problems = await readProblems(gh, issue.number, moved);
const core = coreSet(problems);
if (core.finishedAt) finished.push({ topic, problems, core: core.all, finishedAt: core.finishedAt });
if (core.finishedAt) finished.push({ kind: "topic", issue, problems, required: core.all, finishedAt: core.finishedAt });
}
for (const review of reviews) {
const set = completion(review.problems);
if (!set.finishedAt) continue;
finished.push({
kind: "review",
// The review's phase is its body's `**Phase:**` line; its milestone is the
// shared "Review — Transfer & Mocks" and says nothing per issue.
issue: { number: review.number, title: review.title, milestone: null, body: review.body },
problems: review.problems,
required: set.all,
finishedAt: set.finishedAt,
});
}
// Oldest first, so a backfill creates releases in campaign order.
finished.sort((a, b) => a.finishedAt.localeCompare(b.finishedAt) || a.topic.number - b.topic.number);
finished.sort((a, b) => a.finishedAt.localeCompare(b.finishedAt) || a.issue.number - b.issue.number);
// ── existing releases ────────────────────────────────────────────
/** Topic -> its release. Name and body are kept in sync with the render on every run. */
/** Topic or review issue -> its release. Name and body are kept in sync with the render on every run. */
const released = new Map<number, { id: number; tag: string; name: string; body: string }>();
for await (const raw of gh.list(`/repos/${gh.repo}/releases`)) {
if (!raw || typeof raw !== "object") continue;
@@ -127,10 +155,11 @@ for await (const raw of gh.list(`/repos/${gh.repo}/releases`)) {
/**
* Timever of an instant. The API reports whole seconds, so SUBTIME is the
* tiebreak: two topics finishing in the same second (one push closing both
* last core problems) get consecutive nanoseconds, in (instant, topic) order.
* tiebreak: two topics or reviews finishing in the same second (one push
* closing both last problems) get consecutive nanoseconds, in (instant,
* issue) order.
*/
const tags = new Map<number, string>(); // topic -> tag
const tags = new Map<number, string>(); // issue -> tag
{
let prev = "";
let ns = 0;
@@ -139,7 +168,7 @@ const tags = new Map<number, string>(); // topic -> tag
const base = `${iso.slice(0, 10).replaceAll("-", "")}.${iso.slice(11, 19).replaceAll(":", "")}`;
ns = base === prev ? ns + 1 : Number(iso.slice(20, 23)) * 1_000_000;
prev = base;
tags.set(f.topic.number, `${base}.${String(ns).padStart(9, "0")}`);
tags.set(f.issue.number, `${base}.${String(ns).padStart(9, "0")}`);
}
}
@@ -174,13 +203,13 @@ function bodySection(body: string, heading: string): string | undefined {
}
function render(f: Finished, tag: string, sha: string, files: Map<number, string[]>): string {
const { topic, problems } = f;
const { issue, problems } = f;
const finishDay = etDate(new Date(f.finishedAt));
// Snapshot at the finish instant: a problem closed later was open then.
// Snapshot at the finish instant: a problem closed later was open then, and
// open problems are not part of the release.
const closedBy = (p: Problem) => p.closedAt !== null && p.closedAt <= f.finishedAt;
const onDay = problems.filter((p) => closedBy(p) && etDate(new Date(p.closedAt!)) === finishDay);
const earlier = problems.filter((p) => closedBy(p) && etDate(new Date(p.closedAt!)) !== finishDay);
const open = problems.filter((p) => !closedBy(p));
const row = (p: Problem): string[] => {
const lc = Number(p.title.match(/^LC (\d+)/)?.[1]);
@@ -206,27 +235,31 @@ function render(f: Finished, tag: string, sha: string, files: Map<number, string
// with one self-contained sentence and keep the fields on one `·` line.
const when = ET_WHEN.format(new Date(f.finishedAt));
const summary =
`Finished ${when} ET: all ${f.core.length} core problems closed, ` +
`Finished ${when} ET: all ${f.required.length} ${f.kind === "topic" ? "core " : ""}problems closed, ` +
`${onDay.length} ${onDay.length === 1 ? "problem" : "problems"} closed that day.`;
const fields: string[] = [];
const scheduled = bodyField(topic.body, "Scheduled");
const scheduled = bodyField(issue.body, "Scheduled");
if (scheduled) fields.push(`**Scheduled:** ${scheduled}`);
if (topic.milestone) fields.push(`**Phase:** ${topic.milestone}`);
fields.push(`**Topic:** #${topic.number}`);
const buildsOn = bodyField(topic.body, "Builds on");
const phase = f.kind === "topic" ? issue.milestone : bodyField(issue.body, "Phase");
if (phase) fields.push(`**Phase:** ${phase}`);
fields.push(`**${f.kind === "topic" ? "Topic" : "Review"}:** #${issue.number}`);
const buildsOn = bodyField(issue.body, "Builds on");
if (buildsOn) fields.push(`**Builds on:** ${buildsOn}`);
const load = bodyField(issue.body, "Load");
if (load) fields.push(`**Load:** ${load}`);
// The marker is how a later run finds this release; see the file header.
const sections = [`<!-- release-topics: #${topic.number} -->\n${summary}`, fields.join(" · ")];
sections.push(`### Closed ${ET_DAY.format(new Date(f.finishedAt))} — the day the topic finished\n\n${table(onDay)}`);
// One marker for both kinds: issue numbers never collide.
const sections = [`<!-- release-topics: #${issue.number} -->\n${summary}`, fields.join(" · ")];
sections.push(`### Closed ${ET_DAY.format(new Date(f.finishedAt))} — the day the ${f.kind} finished\n\n${table(onDay)}`);
if (earlier.length) sections.push(`### Closed earlier\n\n${table(earlier)}`);
if (open.length) sections.push(`### Open at release\n\n${table(open)}`);
const notes = NOTES.flatMap((h) => {
const text = bodySection(topic.body, h);
const text = bodySection(issue.body, h);
return text ? [`**${h}.** ${text}`] : [];
});
if (notes.length) sections.push(`### Notes\n\n${notes.join("\n\n")}`);
sections.push(
`---\n\n\`${tag}\` is [timever](${TIMEVER}) for the UTC instant the core set completed; ` +
`---\n\n\`${tag}\` is [timever](${TIMEVER}) for the UTC instant the ` +
`${f.kind === "topic" ? "core set completed" : "last problem closed"}; ` +
`it tags ${sha.slice(0, 7)}, the last main commit before it.`,
);
return `${sections.join("\n\n")}\n`;
@@ -234,20 +267,20 @@ function render(f: Finished, tag: string, sha: string, files: Map<number, string
// ── reconcile ────────────────────────────────────────────────────
const latest = finished.at(-1)?.topic.number;
const latest = finished.at(-1)?.issue.number;
const report: string[][] = [];
const previews: string[] = [];
let created = 0;
let updated = 0;
for (const f of finished) {
const { topic } = f;
const { issue } = f;
const finishedEt = etDate(new Date(f.finishedAt));
const existing = released.get(topic.number);
const existing = released.get(issue.number);
// An existing release keeps its tag and commit; only its name and body are
// reconciled. Its tag may postdate this clone (released by another run), so
// fetch it when missing — read-only, so a dry run does it too.
const tag = existing?.tag ?? tags.get(topic.number)!;
const tag = existing?.tag ?? tags.get(issue.number)!;
if (existing && Bun.spawnSync(["git", "rev-parse", "-q", "--verify", `refs/tags/${tag}`], { cwd: ROOT }).exitCode !== 0) {
git("fetch", "-q", "origin", `refs/tags/${tag}:refs/tags/${tag}`);
}
@@ -255,7 +288,7 @@ for (const f of finished) {
? git("rev-parse", `${tag}^{commit}`)
: git("rev-list", "-1", "--first-parent", `--before=${f.finishedAt}`, "HEAD");
if (!sha) {
report.push([`#${topic.number}`, topic.title, finishedEt, tag, "ERROR: no commit before finish"]);
report.push([`#${issue.number}`, issue.title, finishedEt, tag, "ERROR: no commit before finish"]);
continue;
}
// LC number -> its first-solve files in the tagged tree. Keyed by file name,
@@ -269,20 +302,20 @@ for (const f of finished) {
files.set(Number(lc), [...(files.get(Number(lc)) ?? []), path]);
}
const body = render(f, tag, sha, files);
const name = topic.title;
const name = issue.title;
if (existing) {
if (existing.body === body && existing.name === name) {
report.push([`#${topic.number}`, topic.title, finishedEt, tag, "released"]);
report.push([`#${issue.number}`, issue.title, finishedEt, tag, "released"]);
} else if (DRY) {
previews.push(`## ${name} (${tag})\n\n${body}`);
report.push([`#${topic.number}`, topic.title, finishedEt, tag, "would update"]);
report.push([`#${issue.number}`, issue.title, finishedEt, tag, "would update"]);
} else {
await gh.api(`/repos/${gh.repo}/releases/${existing.id}`, {
method: "PATCH",
body: JSON.stringify({ name, body }),
});
report.push([`#${topic.number}`, topic.title, finishedEt, tag, "updated"]);
report.push([`#${issue.number}`, issue.title, finishedEt, tag, "updated"]);
updated++;
}
continue;
@@ -290,7 +323,7 @@ for (const f of finished) {
if (DRY) {
previews.push(`## ${name} (${tag})\n\n${body}`);
report.push([`#${topic.number}`, topic.title, finishedEt, tag, "would release"]);
report.push([`#${issue.number}`, issue.title, finishedEt, tag, "would release"]);
continue;
}
@@ -299,7 +332,11 @@ for (const f of finished) {
const local = Bun.spawnSync(["git", "rev-parse", "-q", "--verify", `refs/tags/${tag}`], { cwd: ROOT });
if (local.exitCode !== 0) {
const tagged = Bun.spawnSync(
["git", "tag", "-a", tag, sha, "-m", `${topic.title} (#${topic.number})\n\nCore set complete: ${f.core.map((n) => `#${n}`).join(", ")}`],
[
"git", "tag", "-a", tag, sha, "-m",
`${issue.title} (#${issue.number})\n\n` +
`${f.kind === "topic" ? "Core set complete" : "All problems closed"}: ${f.required.map((n) => `#${n}`).join(", ")}`,
],
{ cwd: ROOT, env: { ...process.env, GIT_COMMITTER_DATE: f.finishedAt } },
);
if (tagged.exitCode !== 0) throw new Error(`git tag ${tag}: ${tagged.stderr.toString().trim()}`);
@@ -312,21 +349,21 @@ for (const f of finished) {
tag_name: tag,
name,
body,
make_latest: topic.number === latest ? "true" : "false",
make_latest: issue.number === latest ? "true" : "false",
}),
});
report.push([`#${topic.number}`, topic.title, finishedEt, tag, "released now"]);
report.push([`#${issue.number}`, issue.title, finishedEt, tag, "released now"]);
created++;
}
// ── report ───────────────────────────────────────────────────────
if (previews.length) console.log(`${previews.join("\n")}\n`);
const rows = [["topic", "title", "finished (ET)", "tag", "status"], ...report];
const rows = [["issue", "title", "finished (ET)", "tag", "status"], ...report];
printTable(rows);
const would = (status: string) => report.filter((r) => r[4] === status).length;
console.log(
`\n${finished.length} finished topics · ` +
`\n${finished.length} finished topics and reviews · ` +
(DRY
? `would release ${would("would release")}, update ${would("would update")}`
: `released ${created}, updated ${updated}`),
@@ -334,7 +371,7 @@ console.log(
await writeStepSummary(
`### release-topics${DRY ? " (dry run)" : ""}\n\n` +
`${finished.length} finished topics, ${released.size} already released.\n\n` +
(report.length ? `${markdownTable(rows)}\n` : "No finished topics.\n") +
`${finished.length} finished topics and reviews, ${released.size} already released.\n\n` +
(report.length ? `${markdownTable(rows)}\n` : "Nothing finished.\n") +
(previews.length ? `\n${previews.join("\n")}` : ""),
);
+72 -7
View File
@@ -9,18 +9,22 @@
*
* Every run backfills the db's solutions table with created_at (from the
* file's birthtime, mtime when the filesystem has none) so ordering works for
* files that predate the db. Ordering is per command — test lists the most
* recently tested first (never-tested after, by name); submit lists the most
* recently created first. Nothing is ever hidden. Exit 0 of leetcode-cli
* stamps last_tested / last_submitted.
* files that predate the db, and at most once a day folds in the signed-in
* LeetCode profile's submission history (see db.ts), which survives a lost db
* or a fresh clone. Files git reports as modified, added or
* untracked come first, newest edit first — the problem being worked on is
* the focused option, so Enter runs it without a search. The rest are ordered
* per command — test lists the most recently tested first (never-tested
* after, by name); submit lists the most recently created first. Nothing is
* ever hidden. Exit 0 of leetcode-cli stamps last_tested / last_submitted.
*
* Library: side-effect-free on import — nothing scans the filesystem until
* runOnSolution() is called.
*/
import { autocomplete, cancel, isCancel, log } from "@clack/prompts";
import { autocomplete, cancel, isCancel, log, spinner } from "@clack/prompts";
import { statSync } from "node:fs";
import { basename, join, relative } from "node:path";
import { problemDb } from "./db";
import { fetchSubmissions, leetcodeCredentials, problemDb } from "./db";
import { ROOT, WORK as WORK_DIR, parseWorkPath } from "./work";
/** Leading LC number of a work/ file, or undefined for unnumbered names. */
@@ -29,6 +33,29 @@ function lcNumber(rel: string): number | undefined {
return m ? Number(m[1]) : undefined;
}
/**
* work/-relative paths of solutions git sees as modified, added or untracked,
* mapped to their mtime. Empty outside a git checkout.
*/
function dirtySolutions(scanned: Set<string>): Map<string, number> {
const git = Bun.spawnSync(
["git", "status", "--porcelain", "-z", "--untracked-files=all", "--", WORK_DIR],
{ cwd: ROOT },
);
const dirty = new Map<string, number>();
if (!git.success) return dirty;
const entries = git.stdout.toString().split("\0");
for (let i = 0; i < entries.length; i++) {
const entry = entries[i]!;
// renames/copies carry their source path as the next entry; skip it
if (/[RC]/.test(entry.slice(0, 2))) i++;
const rel = relative(WORK_DIR, join(ROOT, entry.slice(3)));
// deletions and non-solution files are not in the scan
if (scanned.has(rel)) dirty.set(rel, statSync(join(WORK_DIR, rel)).mtimeMs);
}
return dirty;
}
/** Fuzzy-pick a solution under work/ and run `leetcode <command>` on it. */
export async function runOnSolution(
command: "test" | "submit",
@@ -52,6 +79,36 @@ export async function runOnSolution(
new Date(stat.birthtimeMs || stat.mtimeMs).toISOString(),
);
}
// the profile's history: first and latest submission per work/ problem
if (db.historyStale()) {
const auth = leetcodeCredentials();
if (!auth) {
log.warn("Not signed in to leetcode-cli — run `leetcode login` to restore history from your profile.");
} else {
const s = spinner();
s.start("Syncing submission history from your LeetCode profile");
try {
const bySlug = new Map<string, number>();
for (const f of scanned) {
const parsed = parseWorkPath(f);
if (parsed) bySlug.set(parsed.slug, parsed.lc);
}
const history = new Map<number, { first: string; last: string }>();
for (const { slug, at } of await fetchSubmissions(auth)) {
const id = bySlug.get(slug);
if (id === undefined) continue;
const seen = history.get(id);
if (!seen) history.set(id, { first: at, last: at });
else if (at < seen.first) seen.first = at;
else if (at > seen.last) seen.last = at;
}
s.stop(`Synced submission history for ${db.foldHistory(history)} solutions`);
} catch (err) {
s.error(`Submission history sync failed (${err}) — using cached timestamps`);
}
}
}
const activity = db.solutionActivity();
// test → most recently tested first; submit → most recently created first
@@ -61,7 +118,15 @@ export async function runOnSolution(
return (command === "test" ? row?.lastTested : row?.createdAt) ?? undefined;
};
const dirty = dirtySolutions(new Set(scanned));
const files = scanned.sort((a, b) => {
const ma = dirty.get(a);
const mb = dirty.get(b);
if (ma !== mb) {
if (ma === undefined) return 1;
if (mb === undefined) return -1;
return mb - ma;
}
const ka = sortKey(a);
const kb = sortKey(b);
if (ka !== kb) {
@@ -91,7 +156,7 @@ export async function runOnSolution(
value: f,
label: basename(f),
hint: parsed
? `${stage} · ${parsed.difficulty} · ${parsed.category}`
? `${dirty.has(f) ? "uncommitted · " : ""}${stage} · ${parsed.difficulty} · ${parsed.category}`
: f,
};
}),
+341 -138
View File
@@ -18,16 +18,31 @@
* renders no badges: the docs MDX `wrapper`
* (`apps/docs/components/ProblemBadges.astro`) turns `topics:` and the
* `video:` key `videos.ts` writes into the badge row under the description.
* - Every planned page (a problem the README plan lists) carries its GitHub
* problem issue as frontmatter `issue:` (the URL of the `problem`-labelled
* issue titled `LC <num> · …`), rendered by the same wrapper as a GitHub
* badge after the others; an unplanned warm-up has no catalog issue and no
* key. Like `topics:` it is filled once — on create, or on any run that
* finds it missing — and the issue list is fetched only on such a run
* (never on a sync with nothing new); offline, or with no `gh` auth, the
* page is written without it and the next sync retries. Delete the key to
* refetch it.
* - Every page carries the companies that asked it in the last six months as
* frontmatter `companies:` (`{ name, period, frequency }`, the most recent
* window each company falls in and its frequency there, most recent first;
* `apps/docs/companies.ts`), read from the local DuckDB
* company-frequency database (`COMPANY_DB`, built by its own `mise run
* lc:build`) with the `duckdb` CLI. Unlike the keys above it is rewritten
* every run, since recency ages and a rebuilt database should show; a
* problem no company asked lately carries no key. Where the database or the
* CLI is missing (CI), the step is skipped and pages keep the key as is.
* - Every tag a page carries that no campaign topic teaches (not a key of
* `apps/docs/topic-landings.ts`) gets a placeholder guide page,
* `guides/<slug>.mdx`, with `list:` pointing at LeetCode's problem list for
* the tag. Created once (a missing or empty file), then hand-owned except
* for `sidebar.badge`, which sync keeps at the guide's backlink count (the
* problem pages carrying the tag; dropped at zero); the tag's badge on a
* problem page links to it. A guide may be filed into a category `(group)`
* folder (e.g. `guides/(2-algorithms)/`) — no route segment, so
* `/guides/<slug>` holds — and is found there by slug; a new placeholder
* lands at the `guides/` root for a human to file (and give an `icon:`).
* `apps/docs/topic-landings.ts`) belongs in the Appendix glossary,
* `apps/docs/appendix.ts`, which is hand-written: sync only checks it,
* warning about a carried tag with no term (its badge falls back to
* LeetCode's list), a term whose tag a topic now teaches, and a term icon
* that is missing, a topic's (`TOPIC_ICONS`), or another term's — every
* badge linking to the term shows it.
*
* The sidebar group is the campaign TOPIC from the README table (`tree-dfs/`,
* ordered by topic number via a script-owned `meta.ts`). A problem outside the
@@ -39,11 +54,14 @@
* segment — while the topic folder is a real segment
* (`/tree-dfs/invert-binary-tree`), so a hand-written `index.mdx` in it is the
* topic's landing page at `/tree-dfs` and Blume links the sidebar group row to
* it. Sync never writes or moves an `index.mdx`, and never removes a folder
* that still holds one. A phase folder's `meta.ts` is written once, when
* missing, then hand-owned (its title is yours to rename); a topic's is
* script-owned. An unplanned category group has no phase and sits at the
* content root.
* it. The topic's problem pages sit one level down in a `(problems)` group,
* `tree-dfs/(problems)/226_invert-binary-tree.mdx`: no route segment either,
* and Blume strips the `<num>_` prefix from the route while sorting by it, so
* the URL is still `/tree-dfs/invert-binary-tree`. Sync never writes or moves
* an `index.mdx`, and never removes a folder that still holds one. A phase
* folder's `meta.ts` is written once, when missing, then hand-owned (its
* title is yours to rename); a topic's is script-owned. An unplanned category
* group has no phase and sits at the content root.
*
* Only the first-solve bucket is read: work/3 and work/7 hold blind re-solves
* of problems whose page already exists (see work.ts), and a fresh scaffold
@@ -54,10 +72,15 @@
* `apps/docs/redirects.ts`, which `blume.config.ts` imports — Blume takes exact
* root-relative paths and prepends the deployment base itself.
*/
import { existsSync } from "node:fs";
import { mkdir, readdir, rename, rmdir, unlink } from "node:fs/promises";
import { homedir } from "node:os";
import { basename, dirname, join } from "node:path";
import { APPENDIX } from "../docs/appendix.ts";
import { RECENCY, type Company } from "../docs/companies.ts";
import { TOPIC_LANDINGS } from "../docs/topic-landings.ts";
import { github } from "./github.ts";
const ROOT = join(import.meta.dir, "..", "..");
const WORK = join(ROOT, "work", "1");
@@ -93,11 +116,15 @@ interface Solution {
// ── work/ parsing ────────────────────────────────────────────────
/** Split a source file into (header comment text, code). */
function splitSource(src: string, lang: Lang): { header: string; code: string } {
function splitSource(
src: string,
lang: Lang,
): { header: string; code: string } {
let header: string, code: string;
if (lang === "js") {
const end = src.indexOf("*/");
if (!src.trimStart().startsWith("/*") || end === -1) throw new Error("missing /* header */");
if (!src.trimStart().startsWith("/*") || end === -1)
throw new Error("missing /* header */");
header = src
.slice(src.indexOf("/*") + 2, end)
.split("\n")
@@ -129,7 +156,11 @@ function paragraphs(lines: string[]): string[] {
flush();
continue;
}
if (/^([•-] |Input:|Output:|Explanation:|Example \d+:|Constraints:|Follow[- ]?ups?:)/.test(text)) {
if (
/^([•-] |Input:|Output:|Explanation:|Example \d+:|Constraints:|Follow[- ]?ups?:)/.test(
text,
)
) {
flush();
cur = text;
} else {
@@ -147,7 +178,10 @@ function parseHeader(header: string): Header {
const num = Number.parseInt(titleLine, 10);
const title = titleLine.replace(/^\d+\.\s*/, "");
const difficulty =
lines.find((l) => l.trim().startsWith("Difficulty:"))?.split(":")[1]?.trim() ?? "";
lines
.find((l) => l.trim().startsWith("Difficulty:"))
?.split(":")[1]
?.trim() ?? "";
// Body: everything after the ───── separator.
const sep = lines.findIndex((l) => /^[─]{3,}/.test(l.trim()));
@@ -277,10 +311,18 @@ async function readmeTopics(): Promise<Map<number, Topic>> {
const p = line.match(/^## Phase ([IVX]+) — (.+?) · /);
if (p) {
const name = p[2]!.replaceAll("&amp;", "&");
phase = { order: ROMAN.indexOf(p[1]!) + 1, name: PHASE_ALIASES[name] ?? name };
phase = {
order: ROMAN.indexOf(p[1]!) + 1,
name: PHASE_ALIASES[name] ?? name,
};
}
const t = line.match(/<strong>(\d+)\.\s*([^<]+)<\/strong>/);
if (t) topic = { order: Number(t[1]), name: TOPIC_ALIASES[t[2]!.trim()] ?? t[2]!.trim(), phase };
if (t)
topic = {
order: Number(t[1]),
name: TOPIC_ALIASES[t[2]!.trim()] ?? t[2]!.trim(),
phase,
};
if (!topic) continue;
const n = line.match(/<td align="center">(\d+)<\/td>/);
if (n && !map.has(Number(n[1]))) map.set(Number(n[1]), topic);
@@ -329,15 +371,22 @@ function phaseMeta(phase: Phase): string {
/**
* Blume folder meta for a topic: exact label (the folder slug loses `/` and
* case), curriculum order, the sidebar icon, and `display: "group"` so the
* topic collapses under its phase heading. An unplanned category group
* case), curriculum order, the sidebar icon, and `display: "page"` so the
* topic is one row under its phase heading that drills into its own panel
* (the landing page, then its `(problems)` list). An unplanned category group
* (warm-ups) has no README number and sorts at 0, ahead of phase 1, so the
* sidebar opens on the basics.
*/
function groupMeta(topic: Topic): string {
const icon = TOPIC_ICONS[topic.name];
if (!icon) console.warn(`no icon for group ${JSON.stringify(topic.name)}: add it to TOPIC_ICONS`);
const fields = [`title: ${JSON.stringify(topic.name)}`, `order: ${topic.order ?? 0}`];
if (!icon)
console.warn(
`no icon for group ${JSON.stringify(topic.name)}: add it to TOPIC_ICONS`,
);
const fields = [
`title: ${JSON.stringify(topic.name)}`,
`order: ${topic.order ?? 0}`,
];
if (icon) fields.push(`icon: ${JSON.stringify(icon)}`);
fields.push(`display: "group"`);
return `import { defineMeta } from "blume";\n\nexport default defineMeta({ ${fields.join(", ")} });\n`;
@@ -366,17 +415,24 @@ async function fetchTopicTags(sol: Solution): Promise<TopicTag[] | undefined> {
referer: `https://leetcode.com/problems/${sol.slug}/`,
},
body: JSON.stringify({
query: "query topicTags($titleSlug: String!) { question(titleSlug: $titleSlug) { topicTags { name slug } } }",
query:
"query topicTags($titleSlug: String!) { question(titleSlug: $titleSlug) { topicTags { name slug } } }",
variables: { titleSlug: sol.slug },
}),
});
if (!res.ok) throw new Error(`POST /graphql -> ${res.status} ${res.statusText}`);
const data = (await res.json()) as { data?: { question?: { topicTags?: TopicTag[] } | null } };
if (!res.ok)
throw new Error(`POST /graphql -> ${res.status} ${res.statusText}`);
const data = (await res.json()) as {
data?: { question?: { topicTags?: TopicTag[] } | null };
};
const tags = data.data?.question?.topicTags;
if (!Array.isArray(tags)) throw new Error("POST /graphql -> no such question");
if (!Array.isArray(tags))
throw new Error("POST /graphql -> no such question");
return tags.map(({ name, slug }) => ({ name, slug }));
} catch (err) {
console.warn(`no topics for ${sol.num}.${sol.slug}: ${err instanceof Error ? err.message : err}`);
console.warn(
`no topics for ${sol.num}.${sol.slug}: ${err instanceof Error ? err.message : err}`,
);
return undefined;
}
}
@@ -384,61 +440,138 @@ async function fetchTopicTags(sol: Solution): Promise<TopicTag[] | undefined> {
/** The frontmatter `topics:` block, one flow mapping per tag (JSON strings are valid YAML). */
function topicsYaml(tags: TopicTag[]): string {
if (tags.length === 0) return "topics: []";
return ["topics:", ...tags.map((t) => ` - { name: ${JSON.stringify(t.name)}, slug: ${JSON.stringify(t.slug)} }`)].join("\n");
return [
"topics:",
...tags.map(
(t) =>
` - { name: ${JSON.stringify(t.name)}, slug: ${JSON.stringify(t.slug)} }`,
),
].join("\n");
}
/** The frontmatter's `topics:` as sync wrote them (or a human edited them); [] when absent. */
function frontmatterTopics(page: string): TopicTag[] {
const fm = page.match(/^---\n([\s\S]*?)\n---/)?.[1];
const data: unknown = fm ? Bun.YAML.parse(fm) : undefined;
if (!data || typeof data !== "object" || !("topics" in data) || !Array.isArray(data.topics)) return [];
return data.topics.filter((t): t is TopicTag => typeof t?.name === "string" && typeof t?.slug === "string");
if (
!data ||
typeof data !== "object" ||
!("topics" in data) ||
!Array.isArray(data.topics)
)
return [];
return data.topics.filter(
(t): t is TopicTag =>
typeof t?.name === "string" && typeof t?.slug === "string",
);
}
// ── guides ───────────────────────────────────────────────────────
// ── GitHub problem issues ────────────────────────────────────────
let issueUrls: Promise<Map<number, string> | undefined> | undefined;
/**
* Placeholder for a tag no campaign topic teaches: the `/guides/<slug>` page a
* problem's topic badge links to. `list:` is the tag's LeetCode problem list,
* rendered as a badge by the docs MDX `wrapper`. Written once — the page
* is hand-owned from then on.
* LC number → the URL of its `problem` issue (`LC <num> · <Name>`, open or
* closed), listed once per run and only when a page first needs it — or
* undefined, warned, when GitHub cannot answer (offline commit, no `gh`
* auth): pages go without `issue:` and the next sync fills it in.
*/
function guidePage(tag: TopicTag): string {
return [
"---",
`title: ${JSON.stringify(tag.name)}`,
`list: ${JSON.stringify(`https://leetcode.com/problem-list/${tag.slug}/`)}`,
"---",
"",
":::note",
`This guide has not been written yet. The LeetCode list above has every problem tagged ${tag.name}.`,
":::",
"",
].join("\n");
function problemIssues(): Promise<Map<number, string> | undefined> {
issueUrls ??= (async () => {
try {
const gh = await github();
const urls = new Map<number, string>();
for await (const raw of gh.list(
`/repos/${gh.repo}/issues?labels=problem&state=all`,
)) {
if (!raw || typeof raw !== "object" || "pull_request" in raw) continue;
if (!("title" in raw) || typeof raw.title !== "string") continue;
if (!("html_url" in raw) || typeof raw.html_url !== "string") continue;
const lc = raw.title.match(/^LC (\d+) · /)?.[1];
if (lc && !urls.has(Number(lc))) urls.set(Number(lc), raw.html_url);
}
return urls;
} catch (err) {
console.warn(
`no problem issues: ${err instanceof Error ? err.message : err}`,
);
return undefined;
}
})();
return issueUrls;
}
/** Folder meta for `guides/`: its own header tab (`navigation.tabs` in blume.config.ts), so only the label. */
const GUIDES_META = `import { defineMeta } from "blume";\n\nexport default defineMeta({ title: "Guides" });\n`;
/**
* The problem's issue URL, or undefined (warned when GitHub answered but has
* no such issue). Only a problem the README plan lists has a catalog issue;
* an unplanned warm-up never will, so it is not looked up — otherwise its
* missing key would re-list the issues and re-warn on every sync.
*/
async function issueUrl(sol: Solution): Promise<string | undefined> {
if (!topics.has(sol.num)) return undefined;
const urls = await problemIssues();
const url = urls?.get(sol.num);
if (urls && !url)
console.warn(
`no problem issue titled "LC ${sol.num} · …" for ${sol.num}.${sol.slug}`,
);
return url;
}
// ── company frequency ────────────────────────────────────────────
// The windows and the key's shape are `apps/docs/companies.ts`, shared with
// the schema and the readers; `More Than Six Months` and `All` are not recent.
const COMPANY_DB = join(
process.env.XDG_DATA_HOME ?? join(homedir(), ".local", "share"),
"duckdb",
"data",
"leetcode-company-frequency.db",
);
/**
* A guide's frontmatter with `sidebar.badge` set to its backlink count — the
* one key sync owns on a hand-owned guide — or dropped (with a `sidebar:` left
* empty) at zero, so the sidebar shows a count only where there is something
* to count.
* LC number → the companies that asked it in the last six months, each at the
* most recent window it appears in (the windows nest), ordered most recent
* first, then by that window's frequency. Undefined when this machine has no
* database or no `duckdb` CLI — the step is skipped — or the query fails
* (warned). One query for every solved problem.
*/
function withBacklinkBadge(page: string, count: number): string {
const fm = page.match(/^---\n[\s\S]*?\n---/);
if (!fm) return page;
let head = fm[0].replace(/^ {2}badge: .*\n/m, "");
if (count > 0) {
const line = ` badge: '${count}'`;
head = /^sidebar:$/m.test(head)
? head.replace(/^sidebar:$/m, `sidebar:\n${line}`)
: head.replace(/\n---$/, `\nsidebar:\n${line}\n---`);
} else {
head = head.replace(/^sidebar:\n(?! {2})/m, "");
function recentCompanies(nums: number[]): Map<number, Company[]> | undefined {
if (!existsSync(COMPANY_DB) || !Bun.which("duckdb")) return undefined;
const order = `list_position([${RECENCY.map((p) => `'${p}'`).join(", ")}], period)`;
const sql = `SELECT question_id, company, period, frequency FROM company_frequency
WHERE question_id IN (${nums.join(", ")}) AND ${order} IS NOT NULL
QUALIFY row_number() OVER (PARTITION BY question_id, company ORDER BY ${order}) = 1
ORDER BY question_id, ${order}, frequency DESC, company`;
const proc = Bun.spawnSync(["duckdb", "-readonly", "-json", COMPANY_DB, "-c", sql]);
if (!proc.success) {
console.warn(`no companies: duckdb -> ${proc.stderr.toString().trim()}`);
return undefined;
}
return head + page.slice(fm[0].length);
const out = proc.stdout.toString().trim();
const rows: unknown = out ? JSON.parse(out) : [];
const companies = new Map<number, Company[]>(nums.map((n) => [n, []]));
for (const row of Array.isArray(rows) ? rows : []) {
if (!row || typeof row !== "object") continue;
if (!("question_id" in row) || typeof row.question_id !== "number") continue;
if (!("company" in row) || typeof row.company !== "string") continue;
if (!("period" in row) || !("frequency" in row) || typeof row.frequency !== "number") continue;
const period = RECENCY.find((p) => p === row.period);
if (period)
companies.get(row.question_id)?.push({ name: row.company, period, frequency: row.frequency });
}
return companies;
}
/** The frontmatter `companies:` block, one flow mapping per company (JSON strings are valid YAML). */
function companiesYaml(list: Company[]): string {
return [
"companies:",
...list.map(
(c) =>
` - { name: ${JSON.stringify(c.name)}, period: ${JSON.stringify(c.period)}, frequency: ${c.frequency} }`,
),
].join("\n");
}
// ── inline-code formatting heuristics ────────────────────────────
@@ -447,13 +580,15 @@ function withBacklinkBadge(page: string, count: number): string {
function identifiers(sol: Solution): Set<string> {
const ids = new Set<string>(["n", "m", "k"]);
for (const code of Object.values(sol.code)) {
for (const m of code.matchAll(/@param\s*\{[^}]*\}\s*(\w+)/g)) ids.add(m[1]!);
for (const m of code.matchAll(/@param\s*\{[^}]*\}\s*(\w+)/g))
ids.add(m[1]!);
for (const m of code.matchAll(/def \w+\(self,?\s*([^)]*)\)/g))
for (const arg of m[1]!.split(","))
if (arg.trim()) ids.add(arg.split(":")[0]!.trim());
for (const m of code.matchAll(/(?:var|const|let) (\w+) = function\s*\(([^)]*)\)/g))
for (const arg of m[2]!.split(","))
if (arg.trim()) ids.add(arg.trim());
for (const m of code.matchAll(
/(?:var|const|let) (\w+) = function\s*\(([^)]*)\)/g,
))
for (const arg of m[2]!.split(",")) if (arg.trim()) ids.add(arg.trim());
}
return ids;
}
@@ -510,7 +645,11 @@ function backtickify(text: string, ids: Set<string>): string {
while (j > i && /^[+\-*/=%]$/.test(toks[j]!.core)) j--;
const span = toks
.slice(i, j + 1)
.map((tok, idx, arr) => (idx === arr.length - 1 ? `${tok.pre}${tok.core}` : `${tok.pre}${tok.core}${tok.post}`))
.map((tok, idx, arr) =>
idx === arr.length - 1
? `${tok.pre}${tok.core}`
: `${tok.pre}${tok.core}${tok.post}`,
)
.join(" ");
out.push(`\`${span}\`${toks[j]!.post}`);
i = j + 1;
@@ -538,14 +677,23 @@ function warningText(h: Header): string {
return (
h.statement
.slice(1)
.find((p) => /^(You must|Your solution must|Your algorithm|Notice that|Could you)/.test(p)) ?? ""
.find((p) =>
/^(You must|Your solution must|Your algorithm|Notice that|Could you)/.test(
p,
),
) ?? ""
);
}
/** Sidebar/page icon for every problem page (Lucide, resolved by Blume). */
const PAGE_ICON = "dot";
function renderPage(sol: Solution, tags: TopicTag[] | undefined): string {
function renderPage(
sol: Solution,
tags: TopicTag[] | undefined,
issue: string | undefined,
companies: Company[] | undefined,
): string {
const h = sol.header;
const ids = identifiers(sol);
const description = h.statement[0]?.replace(/\.\s*$/, "") ?? "";
@@ -554,9 +702,13 @@ function renderPage(sol: Solution, tags: TopicTag[] | undefined): string {
parts.push(
"---",
`title: '${h.num}. ${h.title.replaceAll("'", "''")}'`,
/[:#]/.test(description) ? `description: '${description.replaceAll("'", "''")}'` : `description: ${description}`,
/[:#]/.test(description)
? `description: '${description.replaceAll("'", "''")}'`
: `description: ${description}`,
`icon: ${PAGE_ICON}`,
...(tags ? [topicsYaml(tags)] : []),
...(issue ? [`issue: ${JSON.stringify(issue)}`] : []),
...(companies?.length ? [companiesYaml(companies)] : []),
"sidebar:",
` label: '${h.title.replaceAll("'", "''")}'`,
` badge: '${h.difficulty}'`,
@@ -575,7 +727,8 @@ function renderPage(sol: Solution, tags: TopicTag[] | undefined): string {
parts.push(`- Explanation: ${backtickify(ex.explanation[0]!, ids)}`);
else if (ex.explanation.length > 1) {
parts.push("- Explanation:");
for (const item of ex.explanation) parts.push(` - ${backtickify(item, ids)}`);
for (const item of ex.explanation)
parts.push(` - ${backtickify(item, ids)}`);
}
parts.push("");
});
@@ -600,7 +753,10 @@ for await (const rel of new Bun.Glob("**/*.{js,py}").scan(WORK)) {
}
const num = Number(m[1]);
const slug = m[2]!;
const { header, code } = splitSource(await Bun.file(join(WORK, rel)).text(), lang);
const { header, code } = splitSource(
await Bun.file(join(WORK, rel)).text(),
lang,
);
const parsed = parseHeader(header);
const existing = solutions.get(num);
if (existing) {
@@ -618,6 +774,7 @@ for await (const rel of new Bun.Glob("**/*.{js,py}").scan(WORK)) {
}
const topics = await readmeTopics();
const companies = recentCompanies([...solutions.keys()]);
// An unplanned problem whose work/ category is also a README topic name (a
// `Hash Table` warm-up) files under that topic, in its phase, not a second
// root-level `hash-table/`.
@@ -649,7 +806,39 @@ async function ensureTopics(page: string, sol: Solution): Promise<string> {
if (!fm || /^topics:/m.test(fm[0])) return page;
const tags = await fetchTopicTags(sol);
if (!tags) return page;
return fm[0].replace(/^sidebar:$/m, `${topicsYaml(tags)}\nsidebar:`) + page.slice(fm[0].length);
return (
fm[0].replace(/^sidebar:$/m, `${topicsYaml(tags)}\nsidebar:`) +
page.slice(fm[0].length)
);
}
/** Insert `issue:` before `sidebar:` when the frontmatter lacks it; an existing URL is kept as is. */
async function ensureIssue(page: string, sol: Solution): Promise<string> {
const fm = page.match(/^---\n[\s\S]*?\n---/);
if (!fm || /^issue:/m.test(fm[0])) return page;
const url = await issueUrl(sol);
if (!url) return page;
return (
fm[0].replace(/^sidebar:$/m, `issue: ${JSON.stringify(url)}\nsidebar:`) +
page.slice(fm[0].length)
);
}
/**
* Replace the frontmatter's `companies:` with this run's list, inserted before
* `sidebar:` (dropped when no company asked lately). Without the database the
* page is returned untouched, so an environment lacking it never strips the key.
*/
function ensureCompanies(page: string, sol: Solution): string {
if (!companies) return page;
const fm = page.match(/^---\n[\s\S]*?\n---/);
if (!fm) return page;
const list = companies.get(sol.num) ?? [];
const without = fm[0].replace(/^companies:.*\n(?: {2}- .*\n)*/m, "");
const next = list.length
? without.replace(/^sidebar:$/m, `${companiesYaml(list)}\nsidebar:`)
: without;
return next + page.slice(fm[0].length);
}
/**
@@ -672,7 +861,9 @@ function solutionEnd(page: string, from: number): number {
// Existing docs pages, keyed by leetcode number from the frontmatter title.
const pages = new Map<number, string>(); // num -> path relative to DOCS
for (const rel of (await Array.fromAsync(new Bun.Glob("**/*.mdx").scan(DOCS))).sort()) {
for (const rel of (
await Array.fromAsync(new Bun.Glob("**/*.mdx").scan(DOCS))
).sort()) {
const text = await Bun.file(join(DOCS, rel)).text();
const t = text.match(/^title: '(\d+)\./m);
if (t) pages.set(Number(t[1]), rel);
@@ -685,21 +876,21 @@ const phases = new Map<string, Phase>(); // phase folder -> phase, for meta.ts
const vacated = new Set<string>(); // folders a page moved out of; removed below if empty
const redirects: string[] = []; // `{ from: "/<num>", to: "/<topic>/<slug>" }` rows, numeric order
const tags = new Map<string, TopicTag>(); // every tag slug any problem page carries -> tag
const tagged = new Map<string, number>(); // tag slug -> how many problem pages carry it
for (const sol of ordered) {
const langs = Object.keys(sol.code).sort().join("+");
const workRef = `${sol.num}.${sol.slug} (${langs})`;
// (0N-<phase>)/<topic>/ folder (the topic is a real route segment, so its
// index.mdx is the landing page) + leetcode-number prefix: numeric sidebar
// order, prefix stripped from the URL.
const topic = topics.get(sol.num) ?? topicByName.get(sol.category) ?? { name: sol.category };
// (0N-<phase>)/<topic>/(problems)/ folder (the topic is a real route segment,
// so its index.mdx is the landing page; `(problems)` adds none) +
// leetcode-number prefix: numeric sidebar order, prefix stripped from the URL.
const topic = topics.get(sol.num) ??
topicByName.get(sol.category) ?? { name: sol.category };
const dir = topicDir(topic);
groups.set(dir, topic);
if (topic.phase) phases.set(phaseDir(topic.phase), topic.phase);
const name = `${dir}/${sol.num}-${sol.slug}.mdx`;
const name = `${dir}/${sol.num}_${sol.slug}.mdx`;
const existing = pages.get(sol.num);
await mkdir(join(DOCS, dir), { recursive: true });
await mkdir(join(DOCS, dirname(name)), { recursive: true });
let written: string; // the page as it stands after this run, for its topics
if (existing) {
@@ -710,8 +901,15 @@ for (const sol of ordered) {
continue;
}
const tail = page.slice(solutionEnd(page, at));
const body = page.slice(0, at) + solutionSection(sol) + (tail ? `\n${tail}` : "");
const next = await ensureTopics(ensureIcon(ensureLabel(body, sol.header)), sol);
const body =
page.slice(0, at) + solutionSection(sol) + (tail ? `\n${tail}` : "");
const next = ensureCompanies(
await ensureIssue(
await ensureTopics(ensureIcon(ensureLabel(body, sol.header)), sol),
sol,
),
sol,
);
const actions: string[] = [];
if (existing !== name) {
await rename(join(DOCS, existing), join(DOCS, name));
@@ -725,17 +923,21 @@ for (const sol of ordered) {
report.push([workRef, name, actions.join(" + ") || "skipped (in sync)"]);
written = next;
} else {
const page = renderPage(sol, await fetchTopicTags(sol));
const page = renderPage(
sol,
await fetchTopicTags(sol),
await issueUrl(sol),
companies?.get(sol.num),
);
await Bun.write(join(DOCS, name), page);
report.push([workRef, name, "created"]);
written = page;
}
for (const tag of frontmatterTopics(written)) {
tags.set(tag.slug, tag);
tagged.set(tag.slug, (tagged.get(tag.slug) ?? 0) + 1);
}
for (const tag of frontmatterTopics(written)) tags.set(tag.slug, tag);
// The route drops the phase `(group)` and the page's number prefix.
redirects.push(` { from: "/${sol.num}", to: ${JSON.stringify(`/${slugify(topic.name)}/${sol.slug}`)} },`);
redirects.push(
` { from: "/${sol.num}", to: ${JSON.stringify(`/${slugify(topic.name)}/${sol.slug}`)} },`,
);
}
// Script-owned short links, one per page; imported by blume.config.ts.
@@ -748,48 +950,48 @@ for (const sol of ordered) {
"];",
"",
].join("\n");
if (!(await Bun.file(REDIRECTS).exists()) || (await Bun.file(REDIRECTS).text()) !== module) {
if (
!(await Bun.file(REDIRECTS).exists()) ||
(await Bun.file(REDIRECTS).text()) !== module
) {
await Bun.write(REDIRECTS, module);
report.push([`${redirects.length} redirects`, "apps/docs/redirects.ts", "written"]);
report.push([
`${redirects.length} redirects`,
"apps/docs/redirects.ts",
"written",
]);
}
}
// One guide page per tag that no campaign topic teaches, created when missing
// (an empty file counts as missing) and never rewritten. A guide is found by
// slug anywhere under guides/ — a human files it into a category `(group)`,
// which leaves its route alone — and a new one lands at the guides/ root. A
// guide whose tag no page carries any more is left alone: it is hand-owned.
const guideTags = [...tags.values()]
.filter((tag) => !TOPIC_LANDINGS[tag.slug])
.sort((a, b) => a.slug.localeCompare(b.slug));
const guideFiles = new Map<string, string>(); // slug -> path relative to DOCS
for await (const rel of new Bun.Glob("guides/**/*.mdx").scan(DOCS)) guideFiles.set(basename(rel, ".mdx"), rel);
for (const tag of guideTags) {
const rel = guideFiles.get(tag.slug) ?? `guides/${tag.slug}.mdx`;
const file = Bun.file(join(DOCS, rel));
if ((await file.exists()) && file.size > 0) continue;
await Bun.write(file, guidePage(tag));
report.push([`tag ${tag.slug}`, rel, "created"]);
// Every carried tag no campaign topic teaches is an Appendix term, filed by
// hand in apps/docs/appendix.ts: warn about the gaps and the dead weight. A
// term's icon is also the icon on every problem-page badge linking to its
// card, so it must not be a topic group's (`TOPIC_ICONS`), so a term badge
// never reads as a topic's, nor another term's.
for (const tag of [...tags.values()].sort((a, b) =>
a.slug.localeCompare(b.slug),
)) {
if (!TOPIC_LANDINGS[tag.slug] && !APPENDIX[tag.slug])
console.warn(
`tag ${tag.slug}: no Appendix term; add ${JSON.stringify(tag.name)} to apps/docs/appendix.ts`,
);
}
// Every guide's sidebar badge is its backlink count: the problem pages whose
// tag badge links to it, which is every page carrying the tag, since a guide's
// tag has no landing (`tagTarget()`). A guide whose tag a landing has since
// claimed has no backlinks left. Counts move with every solved problem, so the
// badge is rewritten whenever it differs; the rest of the guide is untouched.
// The same pass warns when a guide's hand-picked `icon:` is one a topic group
// owns (`TOPIC_ICONS`), so a guide row never reads as a topic row.
const topicIcons = new Set(Object.values(TOPIC_ICONS));
for await (const rel of new Bun.Glob("guides/**/*.mdx").scan(DOCS)) {
const slug = basename(rel, ".mdx");
const count = TOPIC_LANDINGS[slug] ? 0 : (tagged.get(slug) ?? 0);
const page = await Bun.file(join(DOCS, rel)).text();
const icon = page.match(/^---\n[\s\S]*?\n---/)?.[0].match(/^icon: (\S+)$/m)?.[1];
if (icon && topicIcons.has(icon)) console.warn(`${rel}: icon ${JSON.stringify(icon)} is a topic's (TOPIC_ICONS); pick another`);
const next = withBacklinkBadge(page, count);
if (next === page) continue;
await Bun.write(join(DOCS, rel), next);
report.push([`${count} backlinks`, rel, "badged"]);
const termIcons = new Map<string, string>(); // icon -> the term that took it first
for (const [slug, term] of Object.entries(APPENDIX)) {
if (TOPIC_LANDINGS[slug])
console.warn(
`appendix ${slug}: a campaign topic teaches it now; delete its term`,
);
if (topicIcons.has(term.icon))
console.warn(
`appendix ${slug}: icon ${JSON.stringify(term.icon)} is a topic's (TOPIC_ICONS); pick another`,
);
else if (termIcons.has(term.icon))
console.warn(
`appendix ${slug}: icon ${JSON.stringify(term.icon)} is ${termIcons.get(term.icon)}'s too; pick another`,
);
else termIcons.set(term.icon, slug);
}
// Phase metas: created when missing (an empty file counts as missing), never
@@ -801,15 +1003,15 @@ for (const [dir, phase] of phases) {
report.push([`phase ${phase.order}`, `${dir}/meta.ts`, "created"]);
}
// Script-owned folder metas — one per live topic folder, plus guides/ —
// rewritten only when they differ.
const metas: [label: string, dir: string, meta: string][] = [
...[...groups].map(([dir, topic]): [string, string, string] => [`topic ${topic.order ?? "-"}`, dir, groupMeta(topic)]),
...(guideTags.length ? [["guides", "guides", GUIDES_META] as [string, string, string]] : []),
];
// Script-owned folder metas — one per live topic folder — rewritten only when
// they differ.
const metas: [label: string, dir: string, meta: string][] = [...groups].map(
([dir, topic]) => [`topic ${topic.order ?? "-"}`, dir, groupMeta(topic)],
);
for (const [label, dir, meta] of metas) {
const path = join(DOCS, dir, "meta.ts");
if ((await Bun.file(path).exists()) && (await Bun.file(path).text()) === meta) continue;
if ((await Bun.file(path).exists()) && (await Bun.file(path).text()) === meta)
continue;
await Bun.write(path, meta);
report.push([label, `${dir}/meta.ts`, "written"]);
}
@@ -837,4 +1039,5 @@ const w0 = Math.max(...report.map((r) => r[0].length), 9);
const w1 = Math.max(...report.map((r) => r[1].length), 9);
console.log(`${"work file".padEnd(w0)} ${"docs page".padEnd(w1)} status`);
console.log(`${"─".repeat(w0)} ${"─".repeat(w1)} ${"─".repeat(20)}`);
for (const [a, b, c] of report) console.log(`${a.padEnd(w0)} ${b.padEnd(w1)} ${c}`);
for (const [a, b, c] of report)
console.log(`${a.padEnd(w0)} ${b.padEnd(w1)} ${c}`);
+37 -23
View File
@@ -2,42 +2,51 @@
* Topic issues and their problem sub-issues: the ONE reading of "is this topic
* finished", shared by close-topics.ts (closes the topic issue) and
* release-topics.ts (publishes the topic's timever release) so the two can
* never disagree about when a topic was done.
* never disagree about when a topic was done. Also the one reading of "is this
* Review issue finished", which close-topics.ts closes on.
*
* Rule: a topic is finished when it has a core set (`set:core` sub-issues) and
* every one of them is closed. Optional and deferred problems are extra credit
* and never hold a topic open. A topic with no core sub-issues is never
* finished — that would be indistinguishable from a mis-labelled problem set.
*
* Review issues (`Review <N> — <Phase>`, label `review`) are day blocks for
* the transfer phase: problems were re-parented into them from their topics
* (a GitHub issue has one parent). A topic still OWNS such a problem —
* readProblems() returns it alongside the topic's direct sub-issues, with the
* ownership recovered by apps/api/src/reviews.ts (shared with the Worker's
* catalog reconcile) — so the finished rule and the release snapshots do not
* change when a problem moves. A Review issue is finished when every one of
* its sub-issues is closed: it is a fixed assignment, so the set labels do
* not matter there.
*
* Library: side-effect-free on import; every call takes the caller's github().
*/
import type { Problem } from "../api/src/reviews.ts";
import type { GitHub } from "./github.ts";
/** One problem sub-issue, narrowed from the sub_issues payload. */
export interface Problem {
number: number;
/** `LC <num> · <Name>`. */
title: string;
/** ISO instant the issue closed; null while it is open. */
closedAt: string | null;
labels: string[];
}
/** Completion of a required set: a topic's core problems, or every problem of a review. */
export interface Core {
/** Core sub-issues, closed and open alike, lowest number first. */
/** The required problems, closed and open alike, in the order given. */
all: number[];
/** The core sub-issues still open — non-empty means the topic stays open. */
/** The required problems still open — non-empty means the issue stays open. */
pending: number[];
/** When the last core sub-issue closed; null until the topic is finished. */
/** When the last required problem closed; null until the set is finished (never, if empty). */
finishedAt: string | null;
}
/**
* Every sub-issue of a topic. The sub_issues payload carries the full issue
* objects (state + labels), so no per-problem follow-up request is needed.
* Every problem a topic owns: its sub-issues plus the ones moved from it into
* a Review issue (`moved`, from movedFromTopics()). The sub_issues payload
* carries the full issue objects (state + labels), so no per-problem
* follow-up request is needed.
*/
export async function readProblems(gh: GitHub, topic: number): Promise<Problem[]> {
const problems: Problem[] = [];
export async function readProblems(
gh: GitHub,
topic: number,
moved: Map<number, Problem[]>,
): Promise<Problem[]> {
const problems = [...(moved.get(topic) ?? [])];
for await (const raw of gh.list(`/repos/${gh.repo}/issues/${topic}/sub_issues`)) {
if (!raw || typeof raw !== "object") continue;
if (!("number" in raw) || typeof raw.number !== "number") continue;
@@ -63,13 +72,18 @@ export function labelValue(problem: Problem, prefix: string): string | undefined
return problem.labels.find((l) => l.startsWith(prefix))?.slice(prefix.length);
}
/** A topic's rule: its `set:core` problems are the required set. */
export function coreSet(problems: Problem[]): Core {
const core = problems.filter((p) => labelValue(p, "set:") === "core");
const pending = core.filter((p) => !p.closedAt).map((p) => p.number);
return completion(problems.filter((p) => labelValue(p, "set:") === "core"));
}
/** The shared rule: finished when non-empty and every required problem is closed. */
export function completion(required: Problem[]): Core {
const pending = required.filter((p) => !p.closedAt).map((p) => p.number);
// ISO instants from the API share one format, so string order is time order.
const finishedAt =
core.length && !pending.length
? core.map((p) => p.closedAt!).reduce((a, b) => (a > b ? a : b))
required.length && !pending.length
? required.map((p) => p.closedAt!).reduce((a, b) => (a > b ? a : b))
: null;
return { all: core.map((p) => p.number), pending, finishedAt };
return { all: required.map((p) => p.number), pending, finishedAt };
}
+232
View File
@@ -0,0 +1,232 @@
/**
* The Appendix glossary: one term per LeetCode topic tag that problem pages
* carry but no campaign topic teaches (not a key of `topic-landings.ts`).
* `pages/appendix.astro` renders each as a card — icon, category, definition,
* and the solved problems carrying the tag — anchored at `/appendix#<slug>`,
* which is where `tagTarget()` sends that tag's badge on a problem page.
*
* Hand-written: `apps/cli/sync.ts` only checks it, warning about a carried
* tag with no entry (its card renders bare), an entry whose tag a campaign
* topic now teaches (dead weight, delete it), and an icon that is a topic's
* (`TOPIC_ICONS`) or another term's — the icon is also the one on every
* badge linking here, so it must not read as anything else. Plain data, no
* Astro imports: sync imports this file under Bun.
*/
export type AppendixCategory = "Data Structures" | "Algorithms" | "Techniques";
export interface AppendixTerm {
/** LeetCode's tag name. */
name: string;
/** Lucide icon, unique across terms and topics. */
icon: string;
category: AppendixCategory;
/** One sentence: what the term means, the way a solution uses it. */
definition: string;
}
export const APPENDIX: Record<string, AppendixTerm> = {
// ── data structures ──────────────────────────────────────────────
array: {
name: "Array",
icon: "list-ordered",
category: "Data Structures",
definition: "A contiguous, index-addressed sequence: O(1) access by position, O(n) to insert or delete in the middle.",
},
"binary-tree": {
name: "Binary Tree",
icon: "git-branch",
category: "Data Structures",
definition: "A rooted tree in which every node has at most two children, left and right.",
},
"directed-acyclic-graph": {
name: "Directed Acyclic Graph",
icon: "route",
category: "Data Structures",
definition: "A directed graph with no cycles, which is exactly what lets its nodes be put in a topological order.",
},
"doubly-linked-list": {
name: "Doubly-Linked List",
icon: "link-2",
category: "Data Structures",
definition: "A linked list whose nodes point to both neighbours, so a node you already hold is unlinked in O(1).",
},
graph: {
name: "Graph Theory",
icon: "share-2",
category: "Data Structures",
definition: "Nodes joined by edges, directed or not, weighted or not, stored as an adjacency list or matrix.",
},
"k-d-tree": {
name: "K-D Tree",
icon: "axis-3d",
category: "Data Structures",
definition: "A binary tree that splits k-dimensional points on alternating axes, for nearest-neighbour and range queries.",
},
queue: {
name: "Queue",
icon: "list-end",
category: "Data Structures",
definition: "First in, first out: push at the back, pop from the front, both O(1).",
},
string: {
name: "String",
icon: "quote",
category: "Data Structures",
definition: "A sequence of characters; solutions lean on its small alphabet, its substrings, and its immutability.",
},
tree: {
name: "Tree",
icon: "tree-deciduous",
category: "Data Structures",
definition: "A connected acyclic graph, usually rooted, in which every node but the root has exactly one parent.",
},
// ── algorithms ───────────────────────────────────────────────────
"bidirectional-search": {
name: "Bidirectional Search",
icon: "move-horizontal",
category: "Algorithms",
definition: "Search from the start and the goal at once and stop where the frontiers meet, about 2·b^(d/2) states instead of b^d.",
},
"binary-lifting": {
name: "Binary Lifting",
icon: "chevrons-up",
category: "Algorithms",
definition: "Precompute every node's 2^k-th ancestor so any k-th ancestor, and so the LCA, takes O(log n) jumps.",
},
"bit-manipulation": {
name: "Bit Manipulation",
icon: "binary",
category: "Algorithms",
definition: "Treat integers as bit vectors: masks, shifts, and XOR in place of arithmetic or extra memory.",
},
"bracket-sequences": {
name: "Bracket Sequences",
icon: "parentheses",
category: "Algorithms",
definition: "Strings of opening and closing brackets; balanced means the running depth never dips below zero and ends at zero.",
},
"bucket-sort": {
name: "Bucket Sort",
icon: "container",
category: "Algorithms",
definition: "Scatter values into buckets by range or frequency, then read the buckets in order: linear when the key range is bounded.",
},
"complete-knapsack": {
name: "Complete Knapsack",
icon: "package-plus",
category: "Algorithms",
definition: "Knapsack in which every item may be taken any number of times, so the DP walks capacity upward and reuses the row.",
},
"divide-and-conquer": {
name: "Divide and Conquer",
icon: "split",
category: "Algorithms",
definition: "Split the input into independent parts, solve each recursively, and combine their answers.",
},
"floyds-cycle-finding-algorithm": {
name: "Floyd's Cycle Finding Algorithm",
icon: "repeat",
category: "Algorithms",
definition: "A slow and a fast pointer meet inside any cycle; restarting one from the head finds the cycle's entry, in O(1) space.",
},
"knapsack-problem": {
name: "Knapsack Problem",
icon: "backpack",
category: "Algorithms",
definition: "Pick items with weights and values to maximise value under a capacity; the 0/1 version is an O(n·W) DP.",
},
"longest-common-subsequence": {
name: "Longest Common Subsequence",
icon: "diff",
category: "Algorithms",
definition: "The longest sequence that appears in order, not necessarily contiguously, in two strings: the classic O(n·m) 2-D DP.",
},
"lowest-common-ancestor": {
name: "Lowest Common Ancestor",
icon: "git-merge",
category: "Algorithms",
definition: "The deepest node of a rooted tree that is an ancestor of both given nodes.",
},
memoization: {
name: "Memoization",
icon: "database",
category: "Algorithms",
definition: "Cache a pure function's result per argument so every subproblem is solved once: top-down dynamic programming.",
},
"merge-sort": {
name: "Merge Sort",
icon: "blend",
category: "Algorithms",
definition: "Sort each half recursively, then merge the two sorted halves: O(n log n), stable, O(n) extra space.",
},
quickselect: {
name: "Quickselect",
icon: "crosshair",
category: "Algorithms",
definition: "Partition around a pivot and recurse into one side only, finding the k-th smallest element in O(n) on average.",
},
quicksort: {
name: "Quicksort",
icon: "shuffle",
category: "Algorithms",
definition: "Partition around a pivot, then sort each side in place: O(n log n) on average, O(n²) at worst.",
},
recursion: {
name: "Recursion",
icon: "iteration-ccw",
category: "Algorithms",
definition: "Solve a problem by calling the same function on smaller inputs until a base case answers directly.",
},
simulation: {
name: "Simulation",
icon: "monitor-play",
category: "Algorithms",
definition: "Carry out the process the statement describes, step by step; the work is modelling the state faithfully.",
},
sorting: {
name: "Sorting",
icon: "arrow-down-wide-narrow",
category: "Algorithms",
definition: "Order the input first so a later step, such as two pointers, a greedy choice, or binary search, becomes possible.",
},
"tournament-sort": {
name: "Tournament Sort",
icon: "trophy",
category: "Algorithms",
definition: "A winner tree of pairwise comparisons: the root is the extreme element, and replaying one path yields the next in O(log n).",
},
// ── techniques ───────────────────────────────────────────────────
combinatorics: {
name: "Combinatorics",
icon: "dices",
category: "Techniques",
definition: "Count arrangements and selections (permutations, combinations, Catalan numbers), usually modulo a prime.",
},
counting: {
name: "Counting",
icon: "tally-5",
category: "Techniques",
definition: "Tally occurrences in a hash map or fixed array, then answer from the counts instead of the raw input.",
},
design: {
name: "Design",
icon: "pencil-ruler",
category: "Techniques",
definition: "Implement a class to an API spec, choosing the internals so every operation meets its time bound.",
},
geometry: {
name: "Geometry",
icon: "shapes",
category: "Techniques",
definition: "Points, lines, and areas on a plane or grid: distances, slopes, overlaps, and orientation by cross product.",
},
math: {
name: "Math",
icon: "calculator",
category: "Techniques",
definition: "An arithmetic or number-theory insight (modular arithmetic, GCD, digit manipulation, a closed form) in place of brute force.",
},
};
+74 -69
View File
@@ -1,43 +1,10 @@
import { defineConfig } from "blume";
import type { StandardSchema } from "blume/core/standard-schema.ts";
import { custom, filesystem } from "blume/sources";
import { githubReleasesSource } from "blume/sources/github-releases.ts";
import { filesystem } from "blume/sources";
import { APPENDIX } from "./appendix";
import { RECENCY, type Company } from "./companies";
import redirects from "./redirects";
/**
* GitHub releases → /changelog, dated by the topic's real finish instant.
*
* Blume dates a release entry by `published_at`, which the GitHub API cannot
* backdate — so the topic releases backfilled on one day (apps/cli/
* release-topics.ts) would all read that day. Their tags are timever
* (`YYYYMMDD.HHMMSS.NNNNNNNNN`, UTC) of the moment the topic finished, so this
* fetch rewrites each timever release's `published_at` to that instant before
* Blume maps it; anything else passes through untouched. The config-level
* `githubReleases()` accepts no `fetchImpl`, hence the `custom()` wrap of the
* underlying source (the `blume/sources/*.ts` path the Blume docs use for
* custom sources), with the context the built-in adapter would receive.
*/
const TIMEVER = /^(\d{4})(\d{2})(\d{2})\.(\d{2})(\d{2})(\d{2})\.\d{9}$/;
const releasesDatedByTag: typeof fetch = async (input, init) => {
const res = await fetch(input, init);
if (!res.ok) return res;
const releases: unknown = await res.json();
if (Array.isArray(releases)) {
for (const release of releases) {
const m =
typeof release?.tag_name === "string"
? release.tag_name.match(TIMEVER)
: null;
if (m)
release.published_at = `${m[1]}-${m[2]}-${m[3]}T${m[4]}:${m[5]}:${m[6]}Z`;
}
}
// Blume reads only `ok` and the JSON body, so the original headers (whose
// content-length/encoding describe the upstream bytes) are not carried over.
return Response.json(releases, { status: res.status });
};
// Blume's defaults (`inter`, `ibm-plex-mono`) are fetched from fonts.gstatic.com
// on every build, which has timed out on the Pages runner and, fully offline,
// silently ships no fonts at all. The same two families from Fontsource, as
@@ -67,13 +34,14 @@ const plexMono = {
};
/**
* Custom frontmatter, rendered as the badge row by
* Custom frontmatter, rendered between the description and the body by
* components/ProblemBadges.astro. Problem pages: `topics:` is LeetCode's topic
* tags (written by apps/cli/sync.ts), `video:` the NeetCode walkthrough's
* YouTube id (apps/cli/videos.ts). Guide pages (content/guides/, created by
* sync): `list:` is the tag's LeetCode problem list. Blume rejects undeclared
* keys and takes any Standard Schema; these are hand-rolled so the docs
* workspace needs no zod. All optional — every other page carries none.
* tags, `issue:` the problem's GitHub issue URL and `companies:` the companies
* that asked it in the last six months (`companies.ts`; the table under the
* badge row) — all three written by apps/cli/sync.ts — and `video:` the
* NeetCode walkthrough's YouTube id (apps/cli/videos.ts). Blume rejects
* undeclared keys and takes any Standard Schema; these are hand-rolled so the
* docs workspace needs no zod. All optional — every other page carries none.
*/
const optional = <T>(
message: string,
@@ -102,11 +70,22 @@ const videoSchema = optional(
(value): value is string =>
typeof value === "string" && /^[\w-]{11}$/.test(value),
);
const listSchema = optional(
"expected a https://leetcode.com/problem-list/<slug>/ URL",
const issueSchema = optional(
"expected a https://github.com/<owner>/<repo>/issues/<n> URL",
(value): value is string =>
typeof value === "string" &&
/^https:\/\/leetcode\.com\/problem-list\/[\w-]+\/$/.test(value),
/^https:\/\/github\.com\/[\w.-]+\/[\w.-]+\/issues\/\d+$/.test(value),
);
const companiesSchema = optional(
`expected a list of { name, period, frequency } with period one of ${RECENCY.join(" | ")}`,
(value): value is Company[] =>
Array.isArray(value) &&
value.every(
(c) =>
typeof c?.name === "string" &&
RECENCY.includes(c?.period) &&
typeof c?.frequency === "number",
),
);
export default defineConfig({
@@ -121,43 +100,69 @@ export default defineConfig({
repo: "leetcode",
},
lastModified: "git",
redirects,
// Sync's `/<num>` short links, then the Appendix's former per-term pages
// (`/appendix/<slug>`, published until the glossary became one page) onto
// their cards, so old links and search results still land.
redirects: [
...redirects,
...Object.keys(APPENDIX).map((slug) => ({
from: `/appendix/${slug}`,
to: `/appendix#${slug}`,
})),
],
frontmatter: {
extend: { topics: topicsSchema, video: videoSchema, list: listSchema },
extend: {
topics: topicsSchema,
video: videoSchema,
issue: issueSchema,
companies: companiesSchema,
},
},
seo: {
og: { enabled: true },
// No `rss`: the changelog is one custom page (pages/changelog.astro), not
// `type: changelog` entries, so a changelog feed would have nothing in it.
sitemap: true,
robots: true,
structuredData: true,
x: { handle: "@prdlk" },
},
// Blume's own assistant route is server-rendered (it reads the provider key
// per request), which a static Pages build cannot ship. The SRS Worker
// answers instead (apps/api/src/ask.ts: OpenRouter, grounded on this site's
// llms-full.txt, which `agents.llmsTxt` publishes).
ai: {
assistant: {
enabled: true,
endpoint: "https://srs-api.prdlk.workers.dev/ask",
},
},
agents: {
llmsTxt: true,
mcp: { enabled: false },
},
// The only content source. `/changelog`, `/appendix` and `/progress` are
// custom pages (pages/*.astro): `/changelog` reads the GitHub releases
// itself — one timeline, no per-release pages — `/appendix` is one glossary
// page built from appendix.ts, and `/progress` is the live stats cards, so
// none enters the sidebar tree or prev/next.
content: {
sources: [
filesystem({ root: "content" }),
custom(
githubReleasesSource(
{
name: "changelog",
prefix: "changelog",
owner: "prdlk",
repo: "leetcode",
fetchImpl: releasesDatedByTag,
},
// What resolve.ts hands the built-in adapter: `.blume/cache/<name>/`,
// and a refresh on every load (the source reads nothing else).
{
projectRoot: import.meta.dirname,
cacheDir: `${import.meta.dirname}/.blume/cache/changelog`,
mode: "build",
},
),
),
],
sources: [filesystem({ root: "content" })],
},
theme: {
fonts: { display: inter, body: inter, mono: plexMono },
},
navigation: {
repo: "https://github.com/prdlk/leetcode",
sidebar: {
display: "flat", // "flat" | "group" | "page"
},
// The custom pages (pages/*.astro) as header tabs. None is a content
// folder, so the tabs scope nothing out of the sidebar tree.
tabs: [
{ label: "Guides", path: "/guides" },
{ label: "Changelog", path: "/changelog" },
{ label: "Progress", path: "/progress" },
{ label: "Appendix", path: "/appendix" },
],
},
});
+36
View File
@@ -0,0 +1,36 @@
/**
* The `companies:` frontmatter vocabulary, shared by its writer
* (`apps/cli/sync.ts`, from the local DuckDB company-frequency database), its
* schema (`blume.config.ts`) and its two readers: the company table under a
* problem page's badge row (`components/ProblemBadges.astro`) and the
* Companies section of the Appendix (`pages/appendix.astro`), where each
* company's card — anchored at `companyHref()` — lists the problems it asked.
* Plain data, no Astro imports: sync imports this file under Bun.
*/
/** The database's recency windows, most recent first; they nest, so a company is filed under the first it appears in. */
export const RECENCY = ["Thirty Days", "Three Months", "Six Months"] as const;
export type Recency = (typeof RECENCY)[number];
/** Read under an "Asked within" heading (the company table) or as a row chip (the Appendix card). */
export const RECENCY_LABEL: Record<Recency, string> = {
"Thirty Days": "30 days",
"Three Months": "3 months",
"Six Months": "6 months",
};
export interface Company {
name: string;
/** The most recent window the company asked the problem in. */
period: Recency;
/** 5–100, relative within the company and window: 100 is its most-asked problem there. */
frequency: number;
}
/** The company's card on the Appendix; `company-` keeps it clear of the tag cards' `#<slug>` ids. */
export function companyHref(name: string): string {
return `/appendix#company-${name
.toLowerCase()
.replace(/[^a-z0-9]+/g, "-")
.replace(/^-|-$/g, "")}`;
}
+21
View File
@@ -0,0 +1,21 @@
{
"$schema": "https://ui.shadcn.com/schema.json",
"style": "new-york",
"rsc": false,
"tsx": true,
"tailwind": {
"config": "",
"css": "theme.css",
"baseColor": "neutral",
"cssVariables": true,
"prefix": ""
},
"iconLibrary": "lucide",
"aliases": {
"components": "@/components",
"utils": "@/lib/utils",
"ui": "@/components/ui",
"lib": "@/lib",
"hooks": "@/hooks"
}
}
+1 -1
View File
@@ -14,7 +14,7 @@ export default defineComponents({
wrapper: "./components/ProblemBadges.astro",
},
layout: {
// Topic landing + guide pages' "what links here": every problem pointing at the page.
// Topic landing pages' "what links here": every problem pointing at the page.
PageFooter: "./components/BacklinksList.astro",
},
});
+4 -3
View File
@@ -1,9 +1,10 @@
---
/**
* The `PageFooter` slot: an Obsidian-style backlinks list under a topic landing
* or guide page — every problem page that points at it, as `<num> <name>`
* rows in LeetCode-number order. Pages nothing points at (problem pages, the
* overview, the changelog) render nothing.
* page — every problem page that points at it, as `<num> <name>` rows in
* LeetCode-number order. Pages nothing points at (problem pages, the
* overview) render nothing; a tag no topic teaches lists its problems on its
* Appendix card instead (`pages/appendix.astro`), from the same answer.
*
* A problem points at a page when either
* - one of its topic badges links there — the same `tagTarget()` answer
+109 -17
View File
@@ -1,6 +1,7 @@
---
/**
* The MDX `wrapper`: the badge row between a page's description and its body.
* The MDX `wrapper`: the badge row (and, below it, the company table) between
* a page's description and its body.
* Blume's page template renders the title and description itself and then
* the MDX content, with no slot in between, so wrapping the content is the
* only way to land right after the description. MDX hands a wrapper no
@@ -11,20 +12,36 @@
*
* - `topics:` (problem pages, written by `apps/cli/sync.ts`) is LeetCode's own
* topic tags. A tag the campaign teaches (`topic-landings.ts`) links to that
* topic's landing page and reads accent; any other tag links to its guide
* page, `/guides/<slug>` (sync creates one per such tag), and reads neutral.
* topic's landing page and is filled; any other tag links to its card on the
* Appendix glossary, `/appendix#<slug>` (`appendix.ts`), and is outlined.
* `tagTarget()` picks the route (and between two landings, e.g. DFS); the
* `PageFooter` backlinks list reads the same answer.
* `PageFooter` backlinks list and the Appendix page read the same answer.
* Each tag badge is a pill carrying the icon its target shows (a topic's
* `meta.ts` icon in the sidebar, a term's `icon` on its card) and the tag's
* own colour (`lib/tag-colors.ts`), assigned over every tag the site has a
* page or card for — no two tags share one, and tags that share problem
* pages are spread furthest apart. A tag with neither (the LeetCode-list
* fallback) stays gray and iconless.
* - `video:` (problem pages, written by `apps/cli/videos.ts`) is the NeetCode
* walkthrough's YouTube id, the red "Explanation" badge at the end of the row.
* - `list:` (guide pages, written by sync on create) is the tag's LeetCode
* problem list, an orange "LeetCode list" badge.
* walkthrough's YouTube id, the red "Explanation" badge.
* - `issue:` (problem pages, written by sync) is the problem's GitHub issue
* URL, a neutral "Issue #N" badge with the GitHub mark, right after
* "Explanation" at the end of the row.
* - `companies:` (problem pages, written by sync; `companies.ts`) is the
* companies that asked the problem in the last six months, a table laid
* out like Blume's TypeTable under the badge row: each company a pill
* linking to its card in the Appendix's Companies section, the most recent
* window it asked in, and its frequency there (relative within that
* company and window, so a bar of 100 is its most-asked problem).
*/
import { getEntry } from "astro:content";
import data from "blume:data";
import Badge from "blume/components/content/Badge.astro";
import { stripBase, withBase } from "blume/components/islands/base-path.ts";
import { tagTarget, type TopicTag } from "../topic-landings.ts";
import { APPENDIX } from "../appendix.ts";
import { RECENCY_LABEL, companyHref, type Company } from "../companies.ts";
import { tagColors } from "../lib/tag-colors.ts";
import { TOPIC_LANDINGS, tagTarget, type TopicTag } from "../topic-landings.ts";
// `/sub/tree-dfs/invert-binary-tree/` (or `.../index.html` in a static build)
// -> `/tree-dfs/invert-binary-tree`, the base-less shape of `data.routes`.
@@ -36,21 +53,64 @@ const at = data.routes.find((r: { path: string }) => r.path === route);
const entry = at ? await getEntry(at.collection, at.entryId) : undefined;
const tags: TopicTag[] = entry?.data.topics ?? [];
const video: string | undefined = entry?.data.video;
const list: string | undefined = entry?.data.list;
const issue: string | undefined = entry?.data.issue;
const companies: Company[] = entry?.data.companies ?? [];
const served = new Set<string>(data.routes.map((r: { path: string }) => r.path));
// route → the icon its sidebar row shows: a page's own, or a topic group's
// (from its `meta.ts`) for the landing page the group row links to.
interface NavNode {
route?: string;
icon?: string;
children?: NavNode[];
}
const icons = new Map<string, string>();
const walk = (nodes: NavNode[]) => {
for (const node of nodes) {
if (node.route && node.icon && !icons.has(node.route)) icons.set(node.route, node.icon);
if (node.children) walk(node.children);
}
};
walk(data.navigation.sidebar);
// Every tag with a landing or an Appendix card, coloured against how problem
// pages (`<num>. <name>` titles, the shape sync writes) combine them. Only a
// page with tags needs the answer.
const colors = tags.length
? tagColors(
[...Object.keys(TOPIC_LANDINGS), ...Object.keys(APPENDIX)],
await Promise.all(
data.routes
.filter((r: { title: string }) => /^\d+\.\s/u.test(r.title))
.map(async (r: { collection: string; entryId: string }) => {
const page = await getEntry(r.collection, r.entryId);
return (page?.data.topics ?? []).map((t: TopicTag) => t.slug);
}),
),
)
: new Map<string, string>();
const badges = tags.map((tag) => {
const target = tagTarget(tag, { route, tags }, served);
const external = target.kind === "external";
return { name: tag.name, href: external ? target.href : withBase(target.href), accent: target.kind === "landing", external };
return {
name: tag.name,
href: external ? target.href : withBase(target.href),
external,
icon: target.kind === "appendix" ? APPENDIX[tag.slug]?.icon : external ? undefined : icons.get(target.href),
color: external ? undefined : colors.get(tag.slug),
stroke: target.kind !== "landing",
};
});
const linkClass = "no-underline transition-opacity hover:opacity-80";
// TypeTable's column track, so the header and every row align.
const columns = "grid grid-cols-[2fr_1fr_auto] items-center gap-4";
---
{
(badges.length > 0 || video || list) && (
(badges.length > 0 || video || issue) && (
<div class="not-prose mb-6 flex flex-wrap gap-1.5">
{badges.map((b) => (
<a
@@ -59,20 +119,22 @@ const linkClass = "no-underline transition-opacity hover:opacity-80";
rel={b.external ? "noopener" : undefined}
class={linkClass}
>
<Badge variant={b.accent ? "accent" : "default"}>{b.name}</Badge>
<Badge color={b.color} icon={b.icon} shape="pill" stroke={b.stroke}>
{b.name}
</Badge>
</a>
))}
{video && (
<a href={`https://www.youtube.com/watch?v=${video}`} target="_blank" rel="noopener" class={linkClass}>
<Badge variant="danger" icon="youtube">
<Badge variant="danger" icon="youtube" shape="pill">
Explanation
</Badge>
</a>
)}
{list && (
<a href={list} target="_blank" rel="noopener" class={linkClass}>
<Badge variant="warning" icon="list">
LeetCode list
{issue && (
<a href={issue} target="_blank" rel="noopener" class={linkClass}>
<Badge icon="github" shape="pill">
Issue #{issue.slice(issue.lastIndexOf("/") + 1)}
</Badge>
</a>
)}
@@ -80,4 +142,34 @@ const linkClass = "no-underline transition-opacity hover:opacity-80";
)
}
{
companies.length > 0 && (
<div class="not-prose mb-6 rounded-blume border border-border bg-muted/30 p-1.5" data-blume-narration="skip">
<div class={`${columns} px-3 py-2 font-medium text-muted-foreground text-xs`}>
<span>Company</span>
<span>Asked within</span>
<span title="Relative within the company and window: 100 is its most-asked problem there">Frequency</span>
</div>
<div class="mt-1 flex flex-col">
{companies.map((c) => (
<div class={`${columns} border-border border-t px-3 py-2 text-xs`}>
<a href={withBase(companyHref(c.name))} class={linkClass}>
<Badge icon="building-2" shape="pill" stroke>
{c.name}
</Badge>
</a>
<span class="whitespace-nowrap text-foreground">{RECENCY_LABEL[c.period]}</span>
<span class="flex items-center gap-2">
<span class="h-1.5 w-16 overflow-hidden rounded-full bg-muted" aria-hidden="true">
<span class="block h-full rounded-full bg-accent" style={`width: ${c.frequency}%`} />
</span>
<code class="w-8 text-right font-mono text-foreground tabular-nums">{Math.round(c.frequency)}</code>
</span>
</div>
))}
</div>
</div>
)
}
<slot />
@@ -0,0 +1,79 @@
/**
* The ten most recently solved problems — LeetCode's "Recent AC" list. Each
* row is dated by the problem's first pass (an ET calendar date: the Worker
* logs days, not times), read relative to today in ET with the full date on
* hover. A row links to the problem's docs page when one exists: the
* sync-generated short links (`redirects.ts`) are exactly the pages built.
*/
import { Card, CardContent, CardHeader, CardTitle } from "../ui/card";
import { useStats, utcDate } from "../../lib/stats";
import redirects from "../../redirects";
import { StatsPending } from "./shared";
const PAGES = new Map(redirects.map((r) => [r.from, r.to]));
const ET_TODAY = new Intl.DateTimeFormat("en-CA", { timeZone: "America/New_York" });
const RELATIVE = new Intl.RelativeTimeFormat("en", { numeric: "auto" });
const FULL = new Intl.DateTimeFormat("en-US", { dateStyle: "medium", timeZone: "UTC" });
const DAY_MS = 86_400_000;
export default function RecentSolves() {
const load = useStats();
if (load.phase !== "ready") {
return (
<Card>
<CardHeader>
<CardTitle>Recently solved</CardTitle>
</CardHeader>
<CardContent>
<StatsPending load={load} className="h-80 w-full" />
</CardContent>
</Card>
);
}
const today = utcDate(ET_TODAY.format(new Date())).getTime();
return (
<Card>
<CardHeader>
<CardTitle>Recently solved</CardTitle>
</CardHeader>
<CardContent>
{load.stats.recent.length === 0 ? (
<p className="my-0! text-muted-foreground text-sm">Nothing solved yet.</p>
) : (
<ol className="my-0! flex flex-col">
{load.stats.recent.map((p) => {
const date = utcDate(p.date);
const page = PAGES.get(`/${p.lc}`);
const name = (
<>
<span className="text-muted-foreground tabular-nums">{p.lc}.</span> {p.title}
</>
);
return (
<li
key={p.lc}
className="flex items-center justify-between gap-4 rounded-lg px-4 py-3 text-sm odd:bg-muted"
>
{page ? (
<a href={page} className="truncate font-normal! text-foreground no-underline! hover:underline!">
{name}
</a>
) : (
<span className="truncate">{name}</span>
)}
<time dateTime={p.date} title={FULL.format(date)} className="shrink-0 text-muted-foreground">
{RELATIVE.format(Math.round((date.getTime() - today) / DAY_MS), "day")}
</time>
</li>
);
})}
</ol>
)}
</CardContent>
</Card>
);
}
@@ -0,0 +1,143 @@
/**
* Solved-by-difficulty ring — LeetCode's profile gauge. A 270° arc split into
* one segment per difficulty, each sized by that difficulty's share of the
* catalog; the faint track is the whole set, the solid arc the solved part.
* The centre reads the total, or one difficulty while its segment (or its
* stat box) is hovered. "Attempting" is the open-miss count: problems whose
* latest attempt failed.
*/
import { useState } from "react";
import { Pie, PieChart } from "recharts";
import { Card, CardContent } from "../ui/card";
import { type ChartConfig, ChartContainer } from "../ui/chart";
import { DIFFICULTIES, type Difficulty, useStats } from "../../lib/stats";
import { cn } from "../../lib/utils";
import { StatsPending } from "./shared";
const chartConfig = {
easy: { label: "Easy", color: "var(--chart-1)" },
medium: { label: "Med.", color: "var(--chart-2)" },
hard: { label: "Hard", color: "var(--chart-3)" },
} satisfies ChartConfig;
// Static class names, so Tailwind's scanner sees every one (the chart's
// --color-* variables exist only inside ChartContainer).
const DIFFICULTY_TEXT: Record<Difficulty, string> = {
easy: "text-chart-1",
medium: "text-chart-2",
hard: "text-chart-3",
};
// The gauge opens at the bottom: from 225° (lower left) clockwise to -45°
// (lower right), in Recharts' counter-clockwise-from-3-o'clock degrees.
const START = 225;
const SWEEP = 270;
const GAP = 8;
export default function SolvedRing() {
const load = useStats();
const [focus, setFocus] = useState<Difficulty | null>(null);
if (load.phase !== "ready") {
return (
<Card>
<CardContent>
<StatsPending load={load} className="h-52 w-full" />
</CardContent>
</Card>
);
}
const rows = DIFFICULTIES.map(
(difficulty) => load.stats.difficulty.find((d) => d.difficulty === difficulty) ?? { difficulty, total: 0, done: 0 },
);
const total = rows.reduce((n, r) => n + r.total, 0);
const done = rows.reduce((n, r) => n + r.done, 0);
const span = SWEEP - GAP * (rows.length - 1);
const segments: ((typeof rows)[number] & { from: number; to: number; solvedTo: number })[] = [];
let cursor = START;
for (const r of rows) {
const size = total > 0 ? (span * r.total) / total : 0;
const solved = r.total > 0 ? size * (r.done / r.total) : 0;
segments.push({ ...r, from: cursor, to: cursor - size, solvedTo: cursor - solved });
cursor -= size + GAP;
}
const focused = focus ? rows.find((r) => r.difficulty === focus) : undefined;
const arc = { innerRadius: "80%", outerRadius: "88%", cornerRadius: 99, stroke: "none", dataKey: "value" } as const;
return (
<Card>
<CardContent className="flex flex-col items-center gap-6 sm:flex-row">
<div className="relative w-full max-w-56 shrink-0">
<ChartContainer config={chartConfig} className="aspect-square w-full">
<PieChart>
{segments.map((s) => (
<Pie
key={`${s.difficulty}-track`}
{...arc}
data={[{ value: 1 }]}
startAngle={s.from}
endAngle={s.to}
fill={`var(--color-${s.difficulty})`}
fillOpacity={focus && focus !== s.difficulty ? 0.12 : 0.25}
isAnimationActive={false}
onMouseEnter={() => setFocus(s.difficulty)}
onMouseLeave={() => setFocus(null)}
/>
))}
{segments
.filter((s) => s.done > 0)
.map((s) => (
<Pie
key={`${s.difficulty}-solved`}
{...arc}
data={[{ value: 1 }]}
startAngle={s.from}
endAngle={s.solvedTo}
fill={`var(--color-${s.difficulty})`}
fillOpacity={focus && focus !== s.difficulty ? 0.35 : 1}
onMouseEnter={() => setFocus(s.difficulty)}
onMouseLeave={() => setFocus(null)}
/>
))}
</PieChart>
</ChartContainer>
<div className="pointer-events-none absolute inset-0 flex flex-col items-center justify-center gap-1">
<div className="flex items-baseline">
<span className="font-semibold text-4xl tabular-nums">{focused ? focused.done : done}</span>
<span className="text-muted-foreground tabular-nums">/{focused ? focused.total : total}</span>
</div>
<span className={cn("text-sm", focused ? DIFFICULTY_TEXT[focused.difficulty] : "text-muted-foreground")}>
{focused ? chartConfig[focused.difficulty].label : "Solved"}
</span>
</div>
<div className="pointer-events-none absolute inset-x-0 bottom-3 text-center text-muted-foreground text-xs">
<span className="font-semibold text-foreground tabular-nums">{load.stats.attempting}</span> Attempting
</div>
</div>
<div className="flex w-full flex-col gap-2 sm:w-auto sm:flex-1">
{rows.map((r) => (
<div
key={r.difficulty}
className={cn(
"flex flex-col items-center gap-0.5 rounded-lg bg-muted px-4 py-2 transition-opacity",
focus && focus !== r.difficulty && "opacity-50",
)}
onPointerEnter={() => setFocus(r.difficulty)}
onPointerLeave={() => setFocus(null)}
>
<span className={cn("font-medium text-sm", DIFFICULTY_TEXT[r.difficulty])}>
{chartConfig[r.difficulty].label}
</span>
<span className="text-sm tabular-nums">
{r.done}/{r.total}
</span>
</div>
))}
</div>
</CardContent>
</Card>
);
}
@@ -0,0 +1,220 @@
/**
* This calendar year by difficulty — LeetCode's solved/submissions bar chart,
* sharing its row with the heatmap. Stacked Easy / Med. / Hard bars per month
* or per week (Monday-start, like the heatmap rows); "Solved" counts each
* problem once, on its first-pass date (the date `recent` uses), while
* "Submissions" counts every logged attempt. The totals under the chart are
* the year's, in the selected mode. Buckets are cut from `year`, which always
* covers January 1 to today.
*/
import { useState } from "react";
import { Bar, BarChart, CartesianGrid, XAxis, YAxis } from "recharts";
import { Card, CardAction, CardContent, CardFooter, CardHeader } from "../ui/card";
import { type ChartConfig, ChartContainer, ChartTooltip, ChartTooltipContent } from "../ui/chart";
import { ToggleGroup, ToggleGroupItem } from "../ui/toggle-group";
import { DIFFICULTIES, type Day, type Difficulty, useStats, utcDate } from "../../lib/stats";
import { StatsPending } from "./shared";
const chartConfig = {
easy: { label: "Easy", color: "var(--chart-1)" },
medium: { label: "Med.", color: "var(--chart-2)" },
hard: { label: "Hard", color: "var(--chart-3)" },
} satisfies ChartConfig;
// Static class names, so Tailwind's scanner sees every one.
const DIFFICULTY_TEXT: Record<Difficulty, string> = {
easy: "text-chart-1",
medium: "text-chart-2",
hard: "text-chart-3",
};
type Mode = "solved" | "attempts";
type Grain = "month" | "week";
const DAY_MS = 86_400_000;
const MONTH = new Intl.DateTimeFormat("en-US", { month: "short", timeZone: "UTC" });
const MONTH_YEAR = new Intl.DateTimeFormat("en-US", { month: "short", year: "numeric", timeZone: "UTC" });
const SHORT = new Intl.DateTimeFormat("en-US", { month: "short", day: "numeric", timeZone: "UTC" });
interface Bucket extends Record<Difficulty, number> {
index: number;
/** Axis tick: the month the bucket starts in. */
tick: string;
/** Tooltip heading. */
label: string;
}
/** The year's buckets, every one present (future ones empty), filled from `days`. */
function buckets(days: Day[], year: number, grain: Grain, mode: Mode): Bucket[] {
const jan1 = Date.UTC(year, 0, 1);
const lead = (new Date(jan1).getUTCDay() + 6) % 7; // Jan 1's Monday-based weekday
const length = Math.round((Date.UTC(year + 1, 0, 1) - jan1) / DAY_MS);
const out: Bucket[] = [];
if (grain === "month") {
for (let m = 0; m < 12; m++) {
const start = new Date(Date.UTC(year, m, 1));
out.push({ index: m, tick: MONTH.format(start), label: MONTH_YEAR.format(start), easy: 0, medium: 0, hard: 0 });
}
} else {
const weeks = Math.floor((length - 1 + lead) / 7) + 1;
for (let w = 0; w < weeks; w++) {
const start = new Date(Math.max(jan1, jan1 + (w * 7 - lead) * DAY_MS));
const end = new Date(Math.min(jan1 + (length - 1) * DAY_MS, jan1 + (w * 7 - lead + 6) * DAY_MS));
out.push({
index: w,
tick: MONTH.format(start),
label: `${SHORT.format(start)} – ${SHORT.format(end)}`,
easy: 0,
medium: 0,
hard: 0,
});
}
}
for (const day of days) {
const date = utcDate(day.date);
if (date.getUTCFullYear() !== year) continue;
const i = grain === "month" ? date.getUTCMonth() : Math.floor(((date.getTime() - jan1) / DAY_MS + lead) / 7);
const bucket = out[i];
if (!bucket) continue;
for (const d of DIFFICULTIES) bucket[d] += day[mode][d];
}
return out;
}
export default function SubmissionChart() {
const load = useStats();
const [mode, setMode] = useState<Mode>("solved");
const [grain, setGrain] = useState<Grain>("month");
if (load.phase !== "ready") {
return (
<Card>
<CardContent>
<StatsPending load={load} className="h-40 w-full" />
</CardContent>
</Card>
);
}
const year = utcDate(load.stats.year.at(-1)?.date ?? "1970-01-01").getUTCFullYear();
const data = buckets(load.stats.year, year, grain, mode);
const totals = Object.fromEntries(
DIFFICULTIES.map((d) => [d, data.reduce((n, b) => n + b[d], 0)]),
);
const peak = Math.max(...data.map((b) => b.easy + b.medium + b.hard));
// A round ceiling for the one labelled gridline, as LeetCode draws it.
const top = peak <= 5 ? 5 : Math.ceil(peak / 10) * 10;
return (
<Card>
<CardHeader className="flex flex-wrap items-center justify-between gap-2">
<ToggleGroup
type="single"
size="sm"
spacing={1}
value={mode}
onValueChange={(value: string) => value && setMode(value as Mode)}
className="rounded-full bg-muted p-0.5"
aria-label="Count"
>
<ToggleGroupItem value="solved" className="h-7 rounded-full px-2.5 text-xs">
Solved
</ToggleGroupItem>
<ToggleGroupItem value="attempts" className="h-7 rounded-full px-2.5 text-xs">
Submissions
</ToggleGroupItem>
</ToggleGroup>
<div className="flex items-center">
<ToggleGroup
type="single"
size="sm"
spacing={1}
value={grain}
onValueChange={(value: string) => value && setGrain(value as Grain)}
className="rounded-full bg-muted p-0.5"
aria-label="Bucket size"
>
<ToggleGroupItem value="month" className="h-7 rounded-full px-2.5 text-xs" aria-label="Per month">
M
</ToggleGroupItem>
<ToggleGroupItem value="week" className="h-7 rounded-full px-2.5 text-xs" aria-label="Per week">
W
</ToggleGroupItem>
</ToggleGroup>
</div>
</CardHeader>
<CardContent className="flex-1">
<ChartContainer config={chartConfig} className="aspect-auto h-40 w-full">
<BarChart accessibilityLayer data={data} margin={{ top: 8, right: 0, bottom: 0, left: 0 }}>
<CartesianGrid vertical={false} />
<XAxis
dataKey="index"
type="category"
tickLine={false}
axisLine={false}
tickMargin={6}
ticks={[0, data.length - 1]}
interval={0}
// First label anchored at its start, last at its end, so neither
// is clipped when a week band is only a few pixels wide.
tick={({ x, y, payload }) => (
<text
x={x}
y={y}
dy={10}
textAnchor={payload.value === 0 ? "start" : "end"}
className="fill-muted-foreground"
>
{data[Number(payload.value)]?.tick}
</text>
)}
/>
<YAxis
orientation="right"
domain={[0, top]}
ticks={[0, top]}
tickLine={false}
axisLine={false}
width={28}
allowDecimals={false}
/>
<ChartTooltip
cursor={false}
// Recharts applies itemSorter only in its default tooltip; this
// content gets the stack's bottom-up order, so flip it to read
// top-down, Easy first, like the bars.
content={({ active, label, payload }) => (
<ChartTooltipContent
active={active}
label={label}
payload={[...(payload ?? [])].reverse()}
labelFormatter={(_, items) => items[0]?.payload?.label}
indicator="dot"
/>
)}
/>
{(["hard", "medium", "easy"] as const).map((d) => (
<Bar
key={d}
dataKey={d}
stackId="solved"
fill={`var(--color-${d})`}
radius={2}
maxBarSize={grain === "month" ? 10 : 5}
/>
))}
</BarChart>
</ChartContainer>
</CardContent>
<CardFooter className="gap-4 text-sm">
{DIFFICULTIES.map((d) => (
<span key={d} className="flex items-baseline gap-1">
<span className={DIFFICULTY_TEXT[d]}>{chartConfig[d].label}</span>
<span className="text-muted-foreground tabular-nums">{totals[d]}</span>
</span>
))}
<span className="ml-auto text-muted-foreground tabular-nums">{year}</span>
</CardFooter>
</Card>
);
}
@@ -0,0 +1,163 @@
/**
* The last six months of attempts — LeetCode's calendar heatmap, halved to
* share its row with the submissions chart: one cell per day, weeks as
* columns, each month its own block, and the window's attempt count, active
* days and longest streak above it. The figures are counted from exactly the
* cells drawn, so they cannot disagree with the grid. The colour ramp is the
* README/email heatmap's (theme.css `--heat-0..4`, level = attempts capped at
* 4) and rows start on Monday like it, so the three heatmaps read the same.
* Drawn as SVG in a viewBox, so it scales to its column instead of scrolling.
*/
import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "../ui/card";
import { type Day, useStats, utcDate } from "../../lib/stats";
import { StatsPending, TipRow, useHoverTip } from "./shared";
const MONTHS = 6;
const CELL = 10;
const STEP = 13; // cell + gap
const MONTH_GAP = 8;
const LABEL_H = 16;
const HEAT = ["var(--heat-0)", "var(--heat-1)", "var(--heat-2)", "var(--heat-3)", "var(--heat-4)"];
const MONTH = new Intl.DateTimeFormat("en-US", { month: "short", timeZone: "UTC" });
const DAY = new Intl.DateTimeFormat("en-US", { month: "short", day: "numeric", year: "numeric", timeZone: "UTC" });
interface Cell {
x: number;
y: number;
date: Date;
attempts: number;
passes: number;
}
interface Block {
label: string;
x: number;
width: number;
cells: Cell[];
}
/**
* Month blocks laid left to right over the last MONTHS calendar months. Within
* a block a day sits at row = weekday (Mon = 0) and column = its week counted
* from the 1st, so a month starting on a Thursday opens with a short column.
*/
function layout(year: Day[]): { blocks: Block[]; width: number } {
const last = utcDate(year.at(-1)?.date ?? "1970-01-01");
const from = Date.UTC(last.getUTCFullYear(), last.getUTCMonth() - (MONTHS - 1), 1);
const blocks: Block[] = [];
let x = 0;
for (const day of year) {
const date = utcDate(day.date);
if (date.getTime() < from) continue;
let block = blocks.at(-1);
if (date.getUTCDate() === 1 || !block) {
if (block) x += block.width + MONTH_GAP;
block = { label: MONTH.format(date), x, width: 0, cells: [] };
blocks.push(block);
}
const first = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), 1));
const index = (first.getUTCDay() + 6) % 7 + date.getUTCDate() - 1;
const col = Math.floor(index / 7);
block.cells.push({
x: x + col * STEP,
y: (index % 7) * STEP,
date,
attempts: day.attempts.easy + day.attempts.medium + day.attempts.hard,
passes: day.passes,
});
block.width = col * STEP + CELL;
}
const end = blocks.at(-1);
return { blocks, width: end ? end.x + end.width : 0 };
}
export default function SubmissionHeatmap() {
const load = useStats();
const { ref, show, hide, node } = useHoverTip<HTMLDivElement>();
if (load.phase !== "ready") {
return (
<Card>
<CardContent>
<StatsPending load={load} className="h-40 w-full" />
</CardContent>
</Card>
);
}
const { blocks, width } = layout(load.stats.year);
const cells = blocks.flatMap((b) => b.cells);
let run = 0;
let streak = 0;
for (const c of cells) {
run = c.attempts > 0 ? run + 1 : 0;
streak = Math.max(streak, run);
}
const height = 7 * STEP - (STEP - CELL) + LABEL_H;
return (
<Card>
<CardHeader>
<CardTitle className="flex items-baseline gap-2">
<span className="font-semibold text-2xl tabular-nums">{cells.reduce((n, c) => n + c.attempts, 0)}</span>
<span className="font-normal text-muted-foreground text-sm">attempts in the past {MONTHS} months</span>
</CardTitle>
<CardDescription className="flex gap-4">
<span>
Active days:{" "}
<span className="text-foreground tabular-nums">{cells.filter((c) => c.attempts > 0).length}</span>
</span>
<span>
Max streak: <span className="text-foreground tabular-nums">{streak}</span>
</span>
</CardDescription>
</CardHeader>
<CardContent className="flex flex-1 items-center">
<div ref={ref} className="relative w-full" onPointerLeave={hide}>
<svg
viewBox={`0 0 ${width} ${height}`}
className="h-auto w-full"
role="img"
aria-label={`Attempts per day over the past ${MONTHS} months`}
>
{blocks.map((block) => (
<g key={`${block.label}-${block.x}`}>
{block.cells.map((cell) => (
<rect
key={cell.x * 1000 + cell.y}
x={cell.x}
y={cell.y}
width={CELL}
height={CELL}
rx={2}
fill={HEAT[Math.min(cell.attempts, 4)]}
onPointerMove={(event) =>
show(
event,
<>
<div className="font-medium">{DAY.format(cell.date)}</div>
<TipRow color={HEAT[Math.min(cell.attempts, 4)]!} label="Attempts" value={cell.attempts} />
<TipRow color="var(--chart-4)" label="Passed" value={cell.passes} />
</>,
)
}
/>
))}
<text
x={block.x + block.width / 2}
y={height - 3}
textAnchor="middle"
className="fill-muted-foreground text-[9px]"
>
{block.label}
</text>
</g>
))}
</svg>
{node}
</div>
</CardContent>
</Card>
);
}
@@ -0,0 +1,137 @@
/**
* The campaign's topics as packed bubbles — LeetCode's "All Topics" view,
* over our curriculum instead of LeetCode's tags. A bubble's area is the
* topic's problem count; it fills from the bottom like a glass as problems
* are solved, and turns solid once every one is. A topic the schedule has not
* reached yet is dimmed. Packing is d3-hierarchy's front-chain (packSiblings,
* largest first, so the layout is deterministic), drawn as SVG in a viewBox:
* Recharts has no packed layout.
*/
import { packEnclose, packSiblings } from "d3-hierarchy";
import { useId } from "react";
import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "../ui/card";
import { type Stats, useStats } from "../../lib/stats";
import { cn } from "../../lib/utils";
import { StatsPending, TipRow, useHoverTip } from "./shared";
const PAD = 2; // gap between bubbles, in layout units
const UNIT = 12; // radius of a one-problem bubble
type Topic = Stats["topics"][number];
type Bubble = Topic & { x: number; y: number; r: number };
/** Split a name across lines of at most ~10 characters, never breaking a word. */
function lines(name: string): string[] {
const out: string[] = [];
for (const word of name.split(" ")) {
const last = out.at(-1);
if (last !== undefined && `${last} ${word}`.length <= 10) out[out.length - 1] = `${last} ${word}`;
else out.push(word);
}
return out;
}
export default function TopicBubbles() {
const load = useStats();
const { ref, show, hide, node } = useHoverTip<HTMLDivElement>();
const clip = useId().replace(/:/g, "");
if (load.phase !== "ready") {
return (
<Card>
<CardHeader>
<CardTitle>Topics</CardTitle>
</CardHeader>
<CardContent>
<StatsPending load={load} className="aspect-square w-full" />
</CardContent>
</Card>
);
}
const topics = load.stats.topics.filter((t) => t.total > 0);
const circles: Bubble[] = topics
.slice()
.sort((a, b) => b.total - a.total || a.issue - b.issue)
.map((t) => ({ ...t, x: 0, y: 0, r: UNIT * Math.sqrt(t.total) + PAD }));
packSiblings(circles);
const bound = packEnclose(circles) ?? { x: 0, y: 0, r: 1 };
const solved = topics.reduce((n, t) => n + t.done, 0);
const total = topics.reduce((n, t) => n + t.total, 0);
return (
<Card>
<CardHeader>
<CardTitle>Topics</CardTitle>
<CardDescription>
{solved} of {total} problems across {topics.length} topics · size is problem count, fill is solved
</CardDescription>
</CardHeader>
<CardContent>
<div ref={ref} className="relative mx-auto w-full max-w-xl" onPointerLeave={hide}>
<svg
viewBox={`${bound.x - bound.r} ${bound.y - bound.r} ${bound.r * 2} ${bound.r * 2}`}
className="h-auto w-full"
role="img"
aria-label="Campaign topics sized by problem count and filled by problems solved"
>
{circles.map((c) => {
const r = c.r - PAD;
const ratio = c.total > 0 ? c.done / c.total : 0;
const complete = c.done >= c.total;
const words = lines(c.name);
const size = Math.min(r / 3.2, (1.7 * r) / Math.max(...words.map((w) => w.length)));
const id = `${clip}-${c.issue}`;
return (
<g
key={c.issue}
className={cn("transition-opacity hover:opacity-90", !c.taught && "opacity-50")}
onPointerMove={(event) =>
show(
event,
<>
<div className="font-medium">{c.name}</div>
<TipRow color="var(--chart-4)" label="Solved" value={`${c.done}/${c.total}`} />
{!c.taught && <div className="text-muted-foreground">Not reached yet</div>}
</>,
)
}
>
<clipPath id={id}>
<circle cx={c.x} cy={c.y} r={r} />
</clipPath>
<circle cx={c.x} cy={c.y} r={r} className="fill-muted stroke-border" strokeWidth={0.5} />
<rect
x={c.x - r}
y={c.y + r - 2 * r * ratio}
width={2 * r}
height={2 * r * ratio}
clipPath={`url(#${id})`}
fill="var(--chart-4)"
fillOpacity={complete ? 1 : 0.35}
/>
<text
x={c.x}
y={c.y - ((words.length - 1) * size * 1.15) / 2}
textAnchor="middle"
dominantBaseline="central"
clipPath={`url(#${id})`}
className={cn("pointer-events-none select-none", complete ? "fill-background" : "fill-foreground")}
style={{ fontSize: size }}
>
{words.map((w, i) => (
<tspan key={`${i}-${w}`} x={c.x} dy={i === 0 ? 0 : size * 1.15}>
{w}
</tspan>
))}
</text>
</g>
);
})}
</svg>
{node}
</div>
</CardContent>
</Card>
);
}
+67
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/**
* What the progress cards share besides the data: the not-ready body
* (a skeleton while /api/stats loads, one muted line if it fails) and the
* hover tooltip for the two charts drawn as plain SVG (the heatmap calendar
* and the topic bubbles — Recharts has neither layout). The tooltip wears the
* exact classes of shadcn's ChartTooltipContent, so all four cards' tooltips
* look like one component.
*/
import { type PointerEvent, type ReactNode, useRef, useState } from "react";
import { cn } from "../../lib/utils";
import type { Load } from "../../lib/stats";
import { Skeleton } from "../ui/skeleton";
export function StatsPending({ load, className }: { load: Exclude<Load, { phase: "ready" }>; className: string }) {
if (load.phase === "loading") return <Skeleton className={className} />;
return (
<p className="my-0! text-muted-foreground text-sm">
Stats unavailable — they are served live from the SRS Worker, and it did not respond.
</p>
);
}
interface Tip {
x: number;
y: number;
content: ReactNode;
}
/**
* A pointer-following tooltip for SVG marks. Put `ref` on a `relative`
* wrapper, call `show` from a mark's pointer events, render `tip` inside the
* wrapper. Positions are relative to the wrapper, so page scroll never skews it.
*/
export function useHoverTip<T extends HTMLElement>() {
const ref = useRef<T>(null);
const [tip, setTip] = useState<Tip | null>(null);
const show = (event: PointerEvent, content: ReactNode) => {
const box = ref.current?.getBoundingClientRect();
if (box) setTip({ x: event.clientX - box.left, y: event.clientY - box.top, content });
};
const hide = () => setTip(null);
const node = tip && (
<div
className={cn(
"pointer-events-none absolute z-10 grid min-w-[8rem] -translate-x-1/2 -translate-y-[calc(100%+0.75rem)] items-start gap-1.5",
"rounded-lg border border-border/50 bg-background px-2.5 py-1.5 text-xs shadow-xl",
)}
style={{ left: tip.x, top: tip.y }}
>
{tip.content}
</div>
);
return { ref, show, hide, node };
}
/** One tooltip row, the shape ChartTooltipContent draws: colour dot, label, mono value. */
export function TipRow({ color, label, value }: { color: string; label: ReactNode; value: ReactNode }) {
return (
<div className="flex w-full items-center gap-2">
<div className="size-2.5 shrink-0 rounded-[2px]" style={{ background: color }} />
<div className="flex flex-1 items-center justify-between gap-4 leading-none">
<span className="text-muted-foreground">{label}</span>
<span className="font-medium font-mono text-foreground tabular-nums">{value}</span>
</div>
</div>
);
}
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import * as React from "react"
import { cn } from "../../lib/utils"
function Card({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card"
className={cn(
"flex flex-col gap-6 rounded-xl border bg-card py-6 text-card-foreground shadow-sm",
className
)}
{...props}
/>
)
}
function CardHeader({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-header"
className={cn(
"@container/card-header grid auto-rows-min grid-rows-[auto_auto] items-start gap-2 px-6 has-data-[slot=card-action]:grid-cols-[1fr_auto] [.border-b]:pb-6",
className
)}
{...props}
/>
)
}
function CardTitle({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-title"
className={cn("leading-none font-semibold", className)}
{...props}
/>
)
}
function CardDescription({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-description"
className={cn("text-sm text-muted-foreground", className)}
{...props}
/>
)
}
function CardAction({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-action"
className={cn(
"col-start-2 row-span-2 row-start-1 self-start justify-self-end",
className
)}
{...props}
/>
)
}
function CardContent({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-content"
className={cn("px-6", className)}
{...props}
/>
)
}
function CardFooter({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="card-footer"
className={cn("flex items-center px-6 [.border-t]:pt-6", className)}
{...props}
/>
)
}
export {
Card,
CardHeader,
CardFooter,
CardTitle,
CardAction,
CardDescription,
CardContent,
}
+372
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@@ -0,0 +1,372 @@
import * as React from "react"
import { cn } from "../../lib/utils"
import * as RechartsPrimitive from "recharts"
import type { TooltipValueType } from "recharts"
// Format: { THEME_NAME: CSS_SELECTOR }. Blume switches dark mode with
// [data-theme="dark"] on <html>, not shadcn's .dark class.
const THEMES = { light: "", dark: ':root[data-theme="dark"]' } as const
const INITIAL_DIMENSION = { width: 320, height: 200 } as const
type TooltipNameType = number | string
export type ChartConfig = Record<
string,
{
label?: React.ReactNode
icon?: React.ComponentType
} & (
| { color?: string; theme?: never }
| { color?: never; theme: Record<keyof typeof THEMES, string> }
)
>
type ChartContextProps = {
config: ChartConfig
}
const ChartContext = React.createContext<ChartContextProps | null>(null)
function useChart() {
const context = React.useContext(ChartContext)
if (!context) {
throw new Error("useChart must be used within a <ChartContainer />")
}
return context
}
function ChartContainer({
id,
className,
children,
config,
initialDimension = INITIAL_DIMENSION,
...props
}: React.ComponentProps<"div"> & {
config: ChartConfig
children: React.ComponentProps<
typeof RechartsPrimitive.ResponsiveContainer
>["children"]
initialDimension?: {
width: number
height: number
}
}) {
const uniqueId = React.useId()
const chartId = `chart-${id ?? uniqueId.replace(/:/g, "")}`
return (
<ChartContext.Provider value={{ config }}>
<div
data-slot="chart"
data-chart={chartId}
className={cn(
"flex aspect-video justify-center text-xs [&_.recharts-cartesian-axis-tick_text]:fill-muted-foreground [&_.recharts-cartesian-grid_line[stroke='#ccc']]:stroke-border/50 [&_.recharts-curve.recharts-tooltip-cursor]:stroke-border [&_.recharts-dot[stroke='#fff']]:stroke-transparent [&_.recharts-layer]:outline-hidden [&_.recharts-polar-grid_[stroke='#ccc']]:stroke-border [&_.recharts-radial-bar-background-sector]:fill-muted [&_.recharts-rectangle.recharts-tooltip-cursor]:fill-muted [&_.recharts-reference-line_[stroke='#ccc']]:stroke-border [&_.recharts-sector]:outline-hidden [&_.recharts-sector[stroke='#fff']]:stroke-transparent [&_.recharts-surface]:outline-hidden",
className
)}
{...props}
>
<ChartStyle id={chartId} config={config} />
<RechartsPrimitive.ResponsiveContainer
initialDimension={initialDimension}
>
{children}
</RechartsPrimitive.ResponsiveContainer>
</div>
</ChartContext.Provider>
)
}
const ChartStyle = ({ id, config }: { id: string; config: ChartConfig }) => {
const colorConfig = Object.entries(config).filter(
([, config]) => config.theme ?? config.color
)
if (!colorConfig.length) {
return null
}
return (
<style
dangerouslySetInnerHTML={{
__html: Object.entries(THEMES)
.map(
([theme, prefix]) => `
${prefix} [data-chart=${id}] {
${colorConfig
.map(([key, itemConfig]) => {
const color =
itemConfig.theme?.[theme as keyof typeof itemConfig.theme] ??
itemConfig.color
return color ? ` --color-${key}: ${color};` : null
})
.join("\n")}
}
`
)
.join("\n"),
}}
/>
)
}
const ChartTooltip = RechartsPrimitive.Tooltip
function ChartTooltipContent({
active,
payload,
className,
indicator = "dot",
hideLabel = false,
hideIndicator = false,
label,
labelFormatter,
labelClassName,
formatter,
color,
nameKey,
labelKey,
}: React.ComponentProps<typeof RechartsPrimitive.Tooltip> &
React.ComponentProps<"div"> & {
hideLabel?: boolean
hideIndicator?: boolean
indicator?: "line" | "dot" | "dashed"
nameKey?: string
labelKey?: string
} & Omit<
RechartsPrimitive.DefaultTooltipContentProps<
TooltipValueType,
TooltipNameType
>,
"accessibilityLayer"
>) {
const { config } = useChart()
const tooltipLabel = React.useMemo(() => {
if (hideLabel || !payload?.length) {
return null
}
const [item] = payload
const key = `${labelKey ?? item?.dataKey ?? item?.name ?? "value"}`
const itemConfig = getPayloadConfigFromPayload(config, item, key)
const value =
!labelKey && typeof label === "string"
? (config[label]?.label ?? label)
: itemConfig?.label
if (labelFormatter) {
return (
<div className={cn("font-medium", labelClassName)}>
{labelFormatter(value, payload)}
</div>
)
}
if (!value) {
return null
}
return <div className={cn("font-medium", labelClassName)}>{value}</div>
}, [
label,
labelFormatter,
payload,
hideLabel,
labelClassName,
config,
labelKey,
])
if (!active || !payload?.length) {
return null
}
const nestLabel = payload.length === 1 && indicator !== "dot"
return (
<div
className={cn(
"grid min-w-[8rem] items-start gap-1.5 rounded-lg border border-border/50 bg-background px-2.5 py-1.5 text-xs shadow-xl",
className
)}
>
{!nestLabel ? tooltipLabel : null}
<div className="grid gap-1.5">
{payload
.filter((item) => item.type !== "none")
.map((item, index) => {
const key = `${nameKey ?? item.name ?? item.dataKey ?? "value"}`
const itemConfig = getPayloadConfigFromPayload(config, item, key)
const indicatorColor = color ?? item.payload?.fill ?? item.color
return (
<div
key={index}
className={cn(
"flex w-full flex-wrap items-stretch gap-2 [&>svg]:h-2.5 [&>svg]:w-2.5 [&>svg]:text-muted-foreground",
indicator === "dot" && "items-center"
)}
>
{formatter && item?.value !== undefined && item.name ? (
formatter(item.value, item.name, item, index, item.payload)
) : (
<>
{itemConfig?.icon ? (
<itemConfig.icon />
) : (
!hideIndicator && (
<div
className={cn(
"shrink-0 rounded-[2px] border-(--color-border) bg-(--color-bg)",
{
"h-2.5 w-2.5": indicator === "dot",
"w-1": indicator === "line",
"w-0 border-[1.5px] border-dashed bg-transparent":
indicator === "dashed",
"my-0.5": nestLabel && indicator === "dashed",
}
)}
style={
{
"--color-bg": indicatorColor,
"--color-border": indicatorColor,
} as React.CSSProperties
}
/>
)
)}
<div
className={cn(
"flex flex-1 justify-between leading-none",
nestLabel ? "items-end" : "items-center"
)}
>
<div className="grid gap-1.5">
{nestLabel ? tooltipLabel : null}
<span className="text-muted-foreground">
{itemConfig?.label ?? item.name}
</span>
</div>
{item.value != null && (
<span className="font-mono font-medium text-foreground tabular-nums">
{typeof item.value === "number"
? item.value.toLocaleString()
: String(item.value)}
</span>
)}
</div>
</>
)}
</div>
)
})}
</div>
</div>
)
}
const ChartLegend = RechartsPrimitive.Legend
function ChartLegendContent({
className,
hideIcon = false,
payload,
verticalAlign = "bottom",
nameKey,
}: React.ComponentProps<"div"> & {
hideIcon?: boolean
nameKey?: string
} & RechartsPrimitive.DefaultLegendContentProps) {
const { config } = useChart()
if (!payload?.length) {
return null
}
return (
<div
className={cn(
"flex items-center justify-center gap-4",
verticalAlign === "top" ? "pb-3" : "pt-3",
className
)}
>
{payload
.filter((item) => item.type !== "none")
.map((item, index) => {
const key = `${nameKey ?? item.dataKey ?? "value"}`
const itemConfig = getPayloadConfigFromPayload(config, item, key)
return (
<div
key={index}
className={cn(
"flex items-center gap-1.5 [&>svg]:h-3 [&>svg]:w-3 [&>svg]:text-muted-foreground"
)}
>
{itemConfig?.icon && !hideIcon ? (
<itemConfig.icon />
) : (
<div
className="h-2 w-2 shrink-0 rounded-[2px]"
style={{
backgroundColor: item.color,
}}
/>
)}
{itemConfig?.label}
</div>
)
})}
</div>
)
}
// Helper to extract item config from a payload.
function getPayloadConfigFromPayload(
config: ChartConfig,
payload: unknown,
key: string
) {
if (typeof payload !== "object" || payload === null) {
return undefined
}
const payloadPayload =
"payload" in payload &&
typeof payload.payload === "object" &&
payload.payload !== null
? payload.payload
: undefined
let configLabelKey: string = key
if (
key in payload &&
typeof payload[key as keyof typeof payload] === "string"
) {
configLabelKey = payload[key as keyof typeof payload] as string
} else if (
payloadPayload &&
key in payloadPayload &&
typeof payloadPayload[key as keyof typeof payloadPayload] === "string"
) {
configLabelKey = payloadPayload[
key as keyof typeof payloadPayload
] as string
}
return configLabelKey in config ? config[configLabelKey] : config[key]
}
export {
ChartContainer,
ChartTooltip,
ChartTooltipContent,
ChartLegend,
ChartLegendContent,
ChartStyle,
}
+13
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@@ -0,0 +1,13 @@
import { cn } from "../../lib/utils"
function Skeleton({ className, ...props }: React.ComponentProps<"div">) {
return (
<div
data-slot="skeleton"
className={cn("animate-pulse rounded-md bg-muted", className)}
{...props}
/>
)
}
export { Skeleton }
+83
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@@ -0,0 +1,83 @@
"use client"
import * as React from "react"
import { type VariantProps } from "class-variance-authority"
import { cn } from "../../lib/utils"
import { ToggleGroup as ToggleGroupPrimitive } from "radix-ui"
import { toggleVariants } from "./toggle"
const ToggleGroupContext = React.createContext<
VariantProps<typeof toggleVariants> & {
spacing?: number
}
>({
size: "default",
variant: "default",
spacing: 0,
})
function ToggleGroup({
className,
variant,
size,
spacing = 0,
children,
...props
}: React.ComponentProps<typeof ToggleGroupPrimitive.Root> &
VariantProps<typeof toggleVariants> & {
spacing?: number
}) {
return (
<ToggleGroupPrimitive.Root
data-slot="toggle-group"
data-variant={variant}
data-size={size}
data-spacing={spacing}
style={{ "--gap": spacing } as React.CSSProperties}
className={cn(
"group/toggle-group flex w-fit items-center gap-[--spacing(var(--gap))] rounded-md data-[spacing=default]:data-[variant=outline]:shadow-xs",
className
)}
{...props}
>
<ToggleGroupContext.Provider value={{ variant, size, spacing }}>
{children}
</ToggleGroupContext.Provider>
</ToggleGroupPrimitive.Root>
)
}
function ToggleGroupItem({
className,
children,
variant,
size,
...props
}: React.ComponentProps<typeof ToggleGroupPrimitive.Item> &
VariantProps<typeof toggleVariants>) {
const context = React.useContext(ToggleGroupContext)
return (
<ToggleGroupPrimitive.Item
data-slot="toggle-group-item"
data-variant={context.variant || variant}
data-size={context.size || size}
data-spacing={context.spacing}
className={cn(
toggleVariants({
variant: context.variant || variant,
size: context.size || size,
}),
"w-auto min-w-0 shrink-0 px-3 focus:z-10 focus-visible:z-10",
"data-[spacing=0]:rounded-none data-[spacing=0]:shadow-none data-[spacing=0]:first:rounded-l-md data-[spacing=0]:last:rounded-r-md data-[spacing=0]:data-[variant=outline]:border-l-0 data-[spacing=0]:data-[variant=outline]:first:border-l",
className
)}
{...props}
>
{children}
</ToggleGroupPrimitive.Item>
)
}
export { ToggleGroup, ToggleGroupItem }
+47
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@@ -0,0 +1,47 @@
import * as React from "react"
import { cva, type VariantProps } from "class-variance-authority"
import { cn } from "../../lib/utils"
import { Toggle as TogglePrimitive } from "radix-ui"
// Blume's `accent` is its brand colour, not shadcn's subtle surface: the on
// and hover states use background/muted instead (see theme.css).
const toggleVariants = cva(
"inline-flex items-center justify-center gap-2 rounded-md text-sm font-medium whitespace-nowrap transition-[color,box-shadow] outline-none hover:bg-muted hover:text-muted-foreground focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:pointer-events-none disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 data-[state=on]:bg-background data-[state=on]:text-foreground data-[state=on]:shadow-sm dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",
{
variants: {
variant: {
default: "bg-transparent",
outline:
"border border-input bg-transparent shadow-xs hover:bg-muted hover:text-foreground",
},
size: {
default: "h-9 min-w-9 px-2",
sm: "h-8 min-w-8 px-1.5",
lg: "h-10 min-w-10 px-2.5",
},
},
defaultVariants: {
variant: "default",
size: "default",
},
}
)
function Toggle({
className,
variant,
size,
...props
}: React.ComponentProps<typeof TogglePrimitive.Root> &
VariantProps<typeof toggleVariants>) {
return (
<TogglePrimitive.Root
data-slot="toggle"
className={cn(toggleVariants({ variant, size, className }))}
{...props}
/>
)
}
export { Toggle, toggleVariants }
@@ -6,6 +6,14 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
video: "nIVW4P8b1VA"
issue: "https://github.com/prdlk/leetcode/issues/62"
companies:
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
- { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
- { name: "Meta", period: "Six Months", frequency: 32.7 }
sidebar:
label: 'Find Minimum in Rotated Sorted Array'
badge: 'Medium'
@@ -0,0 +1,57 @@
---
title: '162. Find Peak Element'
description: A peak element is an element that is strictly greater than its neighbors
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
issue: "https://github.com/prdlk/leetcode/issues/64"
companies:
- { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
- { name: "tcs", period: "Thirty Days", frequency: 67.6 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Meta", period: "Three Months", frequency: 54.8 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Uber", period: "Six Months", frequency: 67.2 }
sidebar:
label: 'Find Peak Element'
badge: 'Medium'
---
::::warning
You must write an algorithm that runs in O(log n) time.
::::
### Example 1:
- Input: `nums = [1,2,3,1]`
- Output: `2`
- Explanation: `3` is a peak element and your function should return the index number `2`.
### Example 2:
- Input: `nums = [1,2,1,3,5,6,4]`
- Output: `5`
- Explanation: Your function can return either index number `1` where the peak element is `2`, or index number `5` where the peak element is `6`.
### Constraints:
- `1 <= nums.length <= 1000`
- `-2^31 <= nums[i] <= 2^31 - 1`
- `nums[i] != nums[i + 1] for all valid i.`
## Solution
```py
class Solution:
def findPeakElement(self, nums: list[int]) -> int:
left, right = 0, len(nums) - 1
while left < right:
mid = (left + right) // 2
if nums[mid] < nums[mid + 1]:
left = mid + 1
else:
right = mid
return left
```
@@ -6,6 +6,19 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
video: "U8XENwh8Oy8"
issue: "https://github.com/prdlk/leetcode/issues/60"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "Oracle", period: "Three Months", frequency: 100 }
- { name: "Bloomberg", period: "Three Months", frequency: 68.3 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "TikTok", period: "Six Months", frequency: 64.9 }
- { name: "LinkedIn", period: "Six Months", frequency: 63.3 }
- { name: "Yandex", period: "Six Months", frequency: 59.6 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
sidebar:
label: 'Search in Rotated Sorted Array'
badge: 'Medium'
@@ -0,0 +1,71 @@
---
title: '34. Find First and Last Position of Element in Sorted Array'
description: Given an array of integers nums sorted in non-decreasing order, find the starting and ending position of a given target value
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
issue: "https://github.com/prdlk/leetcode/issues/65"
companies:
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "TikTok", period: "Three Months", frequency: 70.9 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Meta", period: "Three Months", frequency: 43.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
- { name: "Instacart", period: "Six Months", frequency: 100 }
- { name: "Apple", period: "Six Months", frequency: 70.2 }
- { name: "Infosys", period: "Six Months", frequency: 56.2 }
sidebar:
label: 'Find First and Last Position of Element in Sorted Array'
badge: 'Medium'
---
::::warning
You must write an algorithm with O(log n) runtime complexity.
::::
### Example 1:
- Input: `nums = [5,7,7,8,8,10], target = 8`
- Output: `[3,4]`
### Example 2:
- Input: `nums = [5,7,7,8,8,10], target = 6`
- Output: `[-1,-1]`
### Example 3:
- Input: `nums = [], target = 0`
- Output: `[-1,-1]`
### Constraints:
- `0 <= nums.length <= 10^5`
- `-10^9 <= nums[i] <= 10^9`
- `nums` is a non-decreasing array.
- `-10^9 <= target <= 10^9`
## Solution
```py
class Solution:
def searchRange(self, nums: list[int], target: int) -> list[int]:
def find(first):
result = -1
left, right = 0, len(nums) - 1
while left <= right:
mid = (left + right) // 2
if nums[mid] == target:
result = mid
if first:
right = mid - 1
else:
left = mid + 1
elif nums[mid] < target:
left = mid + 1
else:
right = mid - 1
return result
return [find(True), find(False)]
```
@@ -6,6 +6,16 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
video: "K-RYzDZkzCI"
issue: "https://github.com/prdlk/leetcode/issues/63"
companies:
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Grammarly", period: "Three Months", frequency: 84.8 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Infosys", period: "Six Months", frequency: 56.2 }
sidebar:
label: 'Search Insert Position'
badge: 'Easy'
@@ -0,0 +1,76 @@
---
title: '4. Median of Two Sorted Arrays'
description: Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
- { name: "Divide and Conquer", slug: "divide-and-conquer" }
issue: "https://github.com/prdlk/leetcode/issues/66"
companies:
- { name: "Rippling", period: "Thirty Days", frequency: 93 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Google", period: "Thirty Days", frequency: 62 }
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "eBay", period: "Three Months", frequency: 82.2 }
- { name: "Goldman Sachs", period: "Three Months", frequency: 57 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Zoho", period: "Six Months", frequency: 79.6 }
- { name: "DE Shaw", period: "Six Months", frequency: 74.2 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
sidebar:
label: 'Median of Two Sorted Arrays'
badge: 'Hard'
---
### Example 1:
- Input: `nums1 = [1,3], nums2 = [2]`
- Output: `2.00000`
- Explanation: merged array = `[1,2,3]` and median is `2`.
### Example 2:
- Input: `nums1 = [1,2], nums2 = [3,4]`
- Output: `2.50000`
- Explanation: merged array = `[1,2,3,4]` and median is `(2 + 3`) / `2 = 2.5`.
### Constraints:
- `nums1.length == m`
- `nums2.length == n`
- `0 <= m <= 1000`
- `0 <= n <= 1000`
- `1 <= m + n <= 2000`
- `-10^6 <= nums1[i], nums2[i] <= 10^6`
## Solution
```py
class Solution:
def findMedianSortedArrays(self, nums1: list[int], nums2: list[int]) -> float:
if len(nums1) > len(nums2):
return self.findMedianSortedArrays(nums2, nums1)
m, n = len(nums1), len(nums2)
left, right = 0, m
while left <= right:
partA = (left + right) // 2
partB = (m + n + 1) // 2 - partA
maxLeftA = float("-inf") if partA == 0 else nums1[partA - 1]
minRightA = float("inf") if partA == m else nums1[partA]
maxLeftB = float("-inf") if partB == 0 else nums2[partB - 1]
minRightB = float("inf") if partB == n else nums2[partB]
if maxLeftA <= minRightB and maxLeftB <= minRightA:
if (m + n) % 2 == 0:
return (max(maxLeftA, maxLeftB) + min(minRightA, minRightB)) / 2
else:
return max(maxLeftA, maxLeftB)
elif maxLeftA > minRightB:
right = partA - 1
else:
left = partA + 1
```
@@ -6,6 +6,13 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
video: "s4DPM8ct1pI"
issue: "https://github.com/prdlk/leetcode/issues/58"
companies:
- { name: "Google", period: "Thirty Days", frequency: 53.2 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Amazon", period: "Three Months", frequency: 39.1 }
sidebar:
label: 'Binary Search'
badge: 'Easy'
@@ -7,6 +7,16 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
- { name: "Matrix", slug: "matrix" }
video: "Ber2pi2C0j0"
issue: "https://github.com/prdlk/leetcode/issues/61"
companies:
- { name: "Goldman Sachs", period: "Thirty Days", frequency: 62.9 }
- { name: "Microsoft", period: "Three Months", frequency: 57.2 }
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "SAP", period: "Six Months", frequency: 100 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Search a 2D Matrix'
badge: 'Medium'
@@ -6,6 +6,19 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
video: "U2SozAs9RzA"
issue: "https://github.com/prdlk/leetcode/issues/59"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Nvidia", period: "Three Months", frequency: 100 }
- { name: "Infosys", period: "Three Months", frequency: 87.4 }
- { name: "Meta", period: "Three Months", frequency: 62.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Coupang", period: "Six Months", frequency: 100 }
- { name: "Swiggy", period: "Six Months", frequency: 100 }
- { name: "Accenture", period: "Six Months", frequency: 75 }
- { name: "Microsoft", period: "Six Months", frequency: 56.9 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
sidebar:
label: 'Koko Eating Bananas'
badge: 'Medium'
@@ -3,3 +3,84 @@ title: Binary Search
description: 'Half of a sorted range is removed at each step until the target is found.'
hidden: true
---
Binary search is an efficient array search algorithm. It works by narrowing down the search range by half each time. If you have looked up a word in a physical dictionary, you've already used binary search in real life. Let's look at a simple example:
*Given a sorted array of integers and an integer called target, find the element that equals the target and return its index. If the element is not found, return -1.*
The key observation here is that the array is sorted. We pick a random element in the array and compare it to the target.
- If we happen to pick the element that equals the target (how lucky!), then bingo. We don't need to do any more work; we return its index.
- If the element is smaller than the target, then we know the target cannot be found in the section to the left of the current element, since everything to the left is even smaller. So, we discard the current element and everything on the left from the search range.
- If the element is larger than the target, then we know the target cannot be found in the section to the right of the current element, since everything to the right is even larger. So, we discard the current element and everything on the right from the search range.
We repeat this process until we find the target. Instead of picking a random element, we always pick the **middle** element in the current search range. This way, we can discard half of the options and shrink the search range by half each time. This gives us `O(log(N))` runtime.
This idea can be implemented both iteratively and recursively. However, the major difference is that the iterative version of binary search uses `O(1)` memory while the recursive version uses `O(log(N))` memory.
## Implementation
The search range is represented by the `left` and `right` indices that start from both ends of the array and move towards each other as we search. When moving the index, we discard elements and shrink the search range.
Time Complexity: `O(log(n))`
<Carousel>
<CarouselImage src='../../../public/binary_search.001.png' />
<CarouselImage src='../../../public/binary_search.002.png' />
<CarouselImage src='../../../public/binary_search.003.png' />
<CarouselImage src='../../../public/binary_search.004.png' />
<CarouselImage src='../../../public/binary_search.005.png' />
<CarouselImage src='../../../public/binary_search.006.png' />
<CarouselImage src='../../../public/binary_search.007.png' />
<CarouselImage src='../../../public/binary_search.008.png' />
</Carousel>
```python
def binary_search(arr: list[int], target: int) -> int:
left, right = 0, len(arr) - 1
# <= because left and right could point to the same element, < would miss it
while left <= right:
# double slash for integer division in python 3,
# we don't have to worry about integer `left + right` overflow
# since python integers can be arbitrarily large
mid = (left + right) // 2
# found target, return its index
if arr[mid] == target:
return mid
# middle less than target, discard left half by making left search boundary `mid + 1`
if arr[mid] < target:
left = mid + 1
# middle greater than target, discard right half by making right search boundary `mid - 1`
else:
right = mid - 1
return -1 # if we get here we didn't hit above return so we didn't find target
```
### Calculating `mid`
Note that when calculating `mid`, if the number of elements is even, there are two elements in the middle. We usually follow the convention of picking the first one, equivalent to doing integer division `(left + right) / 2`.
In most programming languages, we calculate `mid` with `left + floor((right-left) / 2)` to avoid potential integer overflow. However, in Python, we do not need to worry about integer overflow with `left + right` because Python3 integers can be arbitrarily large.
## Deduction
It's essential to understand and deduce the algorithm yourself instead of memorizing it. In an actual interview, interviewers may ask you additional questions to test your understanding, so simply memorizing the algorithm may not be enough to convince the interviewer.
Key elements in writing a correct binary search:
### 1. When to terminate the loop
Make sure the `while` loop includes an equality comparison; otherwise, we might skip the loop and miss the potential match for the edge case of a one-element array.
### 2. Whether/how to update `left` and `right` boundary in the `if` conditions
Consider which side to discard. If `arr[mid]` is smaller than the `target`, we should discard everything on the left by making `left = mid + 1`.
### 3. Should I discard the current element?
For vanilla binary search, we can discard it since it cannot be the final answer if it is not equal to the target. There might be situations where you would want to think twice before discarding the current element. We'll discuss this in the next module.
## When to use binary search
Interestingly, binary search works beyond sorted arrays. **You can use binary search whenever you make a binary decision to shrink the search range.**
@@ -1,64 +0,0 @@
---
title: '1. Two Sum'
description: You are given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Hash Table", slug: "hash-table" }
video: "KLlXCFG5TnA"
sidebar:
label: 'Two Sum'
badge: 'Easy'
---
::::warning
Can you come up with an algorithm that is less than O(n^2) time complexity?
::::
### Example 1:
- Input: `nums = [2,7,11,15], target = 9`
- Output: `[0,1]`
- Explanation: Because `nums[0] + nums[1]` == `9`, we return [0, 1].
### Example 2:
- Input: `nums = [3,2,4], target = 6`
- Output: `[1,2]`
### Example 3:
- Input: `nums = [3,3], target = 6`
- Output: `[0,1]`
### Constraints:
- `2 <= nums.length <= 10^4`
- `-10^9 <= nums[i] <= 10^9`
- `-10^9 <= target <= 10^9`
- Only one valid answer exists.
## Approach
```mermaid
flowchart TD
S(["twoSum(nums, target)"]) --> I["seen = {} — value to index"]
I --> L{"more (i, num) in nums?"}
L -- no --> E(["return []"])
L -- yes --> C["complement = target - num"]
C --> H{"complement in seen?"}
H -- yes --> R(["return [seen[complement], i]"])
H -- no --> W["seen[num] = i"]
W --> L
```
## Solution
```py
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
seen = {}
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
return []
```
@@ -0,0 +1,68 @@
---
title: '128. Longest Consecutive Sequence'
description: Given an unsorted array of integers nums, return the length of the longest consecutive elements sequence
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Hash Table", slug: "hash-table" }
- { name: "Union-Find", slug: "union-find" }
issue: "https://github.com/prdlk/leetcode/issues/34"
companies:
- { name: "tcs", period: "Thirty Days", frequency: 74.3 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 65.8 }
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "Google", period: "Thirty Days", frequency: 53.2 }
- { name: "Apple", period: "Three Months", frequency: 69 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Paytm", period: "Six Months", frequency: 100 }
- { name: "Nvidia", period: "Six Months", frequency: 91.1 }
- { name: "TikTok", period: "Six Months", frequency: 55.2 }
- { name: "Salesforce", period: "Six Months", frequency: 50.2 }
sidebar:
label: 'Longest Consecutive Sequence'
badge: 'Medium'
---
::::warning
You must write an algorithm that runs in O(n) time.
::::
### Example 1:
- Input: `nums = [100,4,200,1,3,2]`
- Output: `4`
- Explanation: The longest consecutive elements sequence is [1, `2`, `3`, 4]. Therefore its length is `4`.
### Example 2:
- Input: `nums = [0,3,7,2,5,8,4,6,0,1]`
- Output: `9`
### Example 3:
- Input: `nums = [1,0,1,2]`
- Output: `3`
### Constraints:
- `0 <= nums.length <= 10^5`
- `-10^9 <= nums[i] <= 10^9`
## Solution
```py
class Solution:
def longestConsecutive(self, nums: list[int]) -> int:
seen = set(nums)
best = 0
for n in seen:
if n - 1 in seen:
continue
length = 1
while length + n in seen:
length += 1
best = max(length, best)
return best
```
@@ -5,6 +5,10 @@ icon: dot
topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
companies:
- { name: "Bloomberg", period: "Six Months", frequency: 34.2 }
- { name: "Amazon", period: "Six Months", frequency: 14.3 }
- { name: "Google", period: "Six Months", frequency: 11.8 }
sidebar:
label: 'Check if the Sentence Is Pangram'
badge: 'Easy'
@@ -0,0 +1,94 @@
---
title: '1. Two Sum'
description: You are given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Hash Table", slug: "hash-table" }
video: "KLlXCFG5TnA"
issue: "https://github.com/prdlk/leetcode/issues/29"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 100 }
- { name: "Google", period: "Thirty Days", frequency: 100 }
- { name: "Meta", period: "Thirty Days", frequency: 100 }
- { name: "Microsoft", period: "Thirty Days", frequency: 100 }
- { name: "tcs", period: "Thirty Days", frequency: 79.6 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 76.7 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
- { name: "Altimetrik", period: "Three Months", frequency: 100 }
- { name: "Capgemini", period: "Three Months", frequency: 100 }
- { name: "Microstrategy", period: "Three Months", frequency: 100 }
- { name: "MongoDB", period: "Three Months", frequency: 100 }
- { name: "Cognizant", period: "Three Months", frequency: 88.7 }
- { name: "Apple", period: "Three Months", frequency: 80.4 }
- { name: "Barclays", period: "Six Months", frequency: 100 }
- { name: "Cisco", period: "Six Months", frequency: 100 }
- { name: "Deloitte", period: "Six Months", frequency: 100 }
- { name: "Expedia", period: "Six Months", frequency: 100 }
- { name: "NetApp", period: "Six Months", frequency: 100 }
- { name: "Samsung", period: "Six Months", frequency: 100 }
- { name: "Sony", period: "Six Months", frequency: 100 }
- { name: "Oracle", period: "Six Months", frequency: 91.2 }
- { name: "Qualcomm", period: "Six Months", frequency: 80.7 }
- { name: "IBM", period: "Six Months", frequency: 77.2 }
- { name: "eBay", period: "Six Months", frequency: 75.2 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "Flipkart", period: "Six Months", frequency: 57.1 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
sidebar:
label: 'Two Sum'
badge: 'Easy'
---
::::warning
Can you come up with an algorithm that is less than O(n^2) time complexity?
::::
### Example 1:
- Input: `nums = [2,7,11,15], target = 9`
- Output: `[0,1]`
- Explanation: Because `nums[0] + nums[1]` == `9`, we return [0, 1].
### Example 2:
- Input: `nums = [3,2,4], target = 6`
- Output: `[1,2]`
### Example 3:
- Input: `nums = [3,3], target = 6`
- Output: `[0,1]`
### Constraints:
- `2 <= nums.length <= 10^4`
- `-10^9 <= nums[i] <= 10^9`
- `-10^9 <= target <= 10^9`
- Only one valid answer exists.
## Approach
```mermaid
flowchart TD
S(["twoSum(nums, target)"]) --> I["seen = {} — value to index"]
I --> L{"more (i, num) in nums?"}
L -- no --> E(["return []"])
L -- yes --> C["complement = target - num"]
C --> H{"complement in seen?"}
H -- yes --> R(["return [seen[complement], i]"])
H -- no --> W["seen[num] = i"]
W --> L
```
## Solution
```py
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
seen = {}
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
return []
```
@@ -0,0 +1,59 @@
---
title: '205. Isomorphic Strings'
description: Given two strings s and t, determine if they are isomorphic
icon: dot
topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
issue: "https://github.com/prdlk/leetcode/issues/33"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "Meta", period: "Six Months", frequency: 24.5 }
sidebar:
label: 'Isomorphic Strings'
badge: 'Easy'
---
### Example 1:
- Input: `s = "egg", t = "add"`
- Output: `true`
- Explanation: The strings `s` and `t` can be made identical by: • Mapping 'e' to 'a'. • Mapping 'g' to 'd'.
### Example 2:
- Input: `s = "f11", t = "b23"`
- Output: `false`
- Explanation: The strings `s` and `t` can not be made identical as `'1`' needs to be mapped to both `'2`' and `'3`'.
### Example 3:
- Input: `s = "paper", t = "title"`
- Output: `true`
### Constraints:
- `1 <= s.length <= 5 * 10^4`
- `t.length == s.length`
- `s` and `t` consist of any valid ascii character.
## Solution
```py
class Solution:
def isIsomorphic(self, s: str, t: str) -> bool:
N = len(t)
seen = {}
for i in range(N):
c1, c2 = s[i], t[i]
if c1 in seen and seen[c1] != c2:
return False
elif c1 in seen and seen[c1] == c2:
continue
else:
seen[c1] = c2
return len(set(s)) == len(set(t))
```
@@ -7,6 +7,13 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "Sorting", slug: "sorting" }
video: "3OamzN90kPg"
issue: "https://github.com/prdlk/leetcode/issues/27"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
sidebar:
label: 'Contains Duplicate'
badge: 'Easy'
@@ -7,6 +7,17 @@ topics:
- { name: "String", slug: "string" }
- { name: "Sorting", slug: "sorting" }
video: "9UtInBqnCgA"
issue: "https://github.com/prdlk/leetcode/issues/28"
companies:
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Google", period: "Thirty Days", frequency: 53.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "IBM", period: "Three Months", frequency: 100 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "Bloomberg", period: "Three Months", frequency: 64.4 }
- { name: "Meta", period: "Three Months", frequency: 58.9 }
- { name: "Deloitte", period: "Six Months", frequency: 81 }
sidebar:
label: 'Valid Anagram'
badge: 'Easy'
@@ -0,0 +1,61 @@
---
title: '290. Word Pattern'
description: Given a pattern and a string s, find if s follows the same pattern
icon: dot
topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
issue: "https://github.com/prdlk/leetcode/issues/35"
companies:
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
- { name: "Amazon", period: "Six Months", frequency: 20.9 }
sidebar:
label: 'Word Pattern'
badge: 'Easy'
---
### Example 1:
- Input: `pattern = "abba", s = "dog cat cat dog"`
- Output: `true`
- Explanation: The bijection can be established as: • 'a' maps to "dog". • 'b' maps to "cat".
### Example 2:
- Input: `pattern = "abba", s = "dog cat cat fish"`
- Output: `false`
### Example 3:
- Input: `pattern = "aaaa", s = "dog cat cat dog"`
- Output: `false`
### Constraints:
- `1 <= pattern.length <= 300`
- `pattern` contains only lower-case English letters.
- `1 <= s.length <= 3000`
- `s` contains only lowercase English letters and spaces ' '.
- `s` does not contain any leading or trailing spaces.
- All the words in `s` are separated by a single space.
## Solution
```py
class Solution:
def wordPattern(self, pattern: str, s: str) -> bool:
if len(pattern) != len(s.split()):
return False
words = s.split()
map = {}
for i in range(len(pattern)):
c = pattern[i]
w = words[i]
if c in map and map[c] != w:
return False
else:
map[c] = w
return len(set(pattern)) == len(set(words))
```
@@ -12,6 +12,24 @@ topics:
- { name: "Counting", slug: "counting" }
- { name: "Quickselect", slug: "quickselect" }
video: "YPTqKIgVk-k"
issue: "https://github.com/prdlk/leetcode/issues/31"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 72.9 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Snap", period: "Six Months", frequency: 100 }
- { name: "SoFi", period: "Six Months", frequency: 100 }
- { name: "PayPal", period: "Six Months", frequency: 88.4 }
- { name: "Walmart Labs", period: "Six Months", frequency: 81.4 }
- { name: "Nvidia", period: "Six Months", frequency: 78.7 }
- { name: "eBay", period: "Six Months", frequency: 75.2 }
- { name: "Visa", period: "Six Months", frequency: 69.7 }
- { name: "Snowflake", period: "Six Months", frequency: 58.7 }
- { name: "TikTok", period: "Six Months", frequency: 55.2 }
- { name: "Meta", period: "Six Months", frequency: 50.6 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
sidebar:
label: 'Top K Frequent Elements'
badge: 'Medium'
@@ -8,6 +8,16 @@ topics:
- { name: "Queue", slug: "queue" }
- { name: "Counting", slug: "counting" }
video: "rBENYgWy3xU"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Yandex", period: "Three Months", frequency: 76.1 }
- { name: "tcs", period: "Three Months", frequency: 73.7 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Meta", period: "Three Months", frequency: 43.3 }
- { name: "Google", period: "Three Months", frequency: 23.9 }
- { name: "EPAM Systems", period: "Six Months", frequency: 76.2 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 59 }
- { name: "Microsoft", period: "Six Months", frequency: 32 }
sidebar:
label: 'First Unique Character in a String'
badge: 'Easy'
@@ -10,6 +10,12 @@ topics:
- { name: "Bucket Sort", slug: "bucket-sort" }
- { name: "Counting", slug: "counting" }
video: "OXdXc9HTrIg"
companies:
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Amazon", period: "Six Months", frequency: 20.9 }
sidebar:
label: 'Sort Characters By Frequency'
badge: 'Medium'
@@ -8,6 +8,32 @@ topics:
- { name: "String", slug: "string" }
- { name: "Sorting", slug: "sorting" }
video: "vzdNOK2oB2E"
issue: "https://github.com/prdlk/leetcode/issues/30"
companies:
- { name: "Apple", period: "Thirty Days", frequency: 100 }
- { name: "Amazon", period: "Thirty Days", frequency: 78.4 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 76.7 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "CrowdStrike", period: "Three Months", frequency: 100 }
- { name: "Deloitte", period: "Three Months", frequency: 100 }
- { name: "HashedIn", period: "Three Months", frequency: 100 }
- { name: "Smartsheet", period: "Three Months", frequency: 100 }
- { name: "Walmart Labs", period: "Three Months", frequency: 100 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "Expedia", period: "Six Months", frequency: 100 }
- { name: "Wipro", period: "Six Months", frequency: 100 }
- { name: "Adobe", period: "Six Months", frequency: 93.7 }
- { name: "Zoho", period: "Six Months", frequency: 79.6 }
- { name: "Nvidia", period: "Six Months", frequency: 78.7 }
- { name: "Oracle", period: "Six Months", frequency: 78.7 }
- { name: "EPAM Systems", period: "Six Months", frequency: 76.2 }
- { name: "Palo Alto Networks", period: "Six Months", frequency: 75.9 }
- { name: "Visa", period: "Six Months", frequency: 69.7 }
- { name: "Infosys", period: "Six Months", frequency: 67.9 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
sidebar:
label: 'Group Anagrams'
badge: 'Medium'
@@ -3,3 +3,48 @@ title: Hash Table
description: 'A key maps to a value in constant time, which removes the need for a full scan.'
hidden: true
---
Sometimes when programming, we need a data structure that maps an arbitrary data type to another arbitrary data type, like an array with non-integer indices. For example, a phone book that allows lookup by a person's name requires such data type.
A **hash table** (or a hash map) is one way of representing this data structure. The idea of hash table is this:
Data is stored in a fix-sized array, where each data value has an unique index. When we add a new `(key, value)` pair to the array, we use a hash function to generate a hash value within the range of the array with the `key`. We then store the data `value` at the index indicated by the generated hash value. Later, when we retrieve the data with the `key` from the hash table, we hash the `key` again and look up the data in the array with the corresponding index. Since the hash function always returns the same hash values with the same input, we will always find the correct item in that index.
<Frame caption="Hash Table Operations">
![](../../../public/hash-table-operations.svg)
</Frame>
## Efficiency
Assuming the hash function uses constant time, the average time complexity is `O(n / k)` for each insertion/access operation on the table, where `n` is the number of entries in the hash table and `k` is the array size of the table. This assumes the hash function distributes keys uniformly across the `k` buckets, so each bucket holds about `n / k` entries on average.
### Frequency Counting
```python
def get_counter(arr: list[int]) -> dict[int, int]:
# initialize a hash map to store each number and its count
counter: dict[int, int] = {}
for num in arr:
# check if num is a key in the hash map
if num in counter:
# update the count of num to increase by 1
counter[num] += 1
else:
# set the count of num to 1
counter[num] = 1
return counter
```
:::tip
Python provides a built-in [`collections.Counter`](https://docs.python.org/3/library/collections.html#collections.Counter) class that does this for us.
:::
```python
from collections import Counter
fq = Counter(arr)
```
@@ -1,3 +1,3 @@
import { defineMeta } from "blume";
export default defineMeta({ title: "1. Linear Structures", order: 1 });
export default defineMeta({ title: "Linear Structures", order: 1 });
@@ -0,0 +1,66 @@
---
title: '496. Next Greater Element I'
description: The next greater element of some element x in an array is the first greater element that is to the right of x in the same array
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Hash Table", slug: "hash-table" }
- { name: "Stack", slug: "stack" }
- { name: "Monotonic Stack", slug: "monotonic-stack" }
issue: "https://github.com/prdlk/leetcode/issues/74"
companies:
- { name: "Google", period: "Thirty Days", frequency: 46.6 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
- { name: "Meta", period: "Three Months", frequency: 43.3 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
sidebar:
label: 'Next Greater Element I'
badge: 'Easy'
---
::::warning
Could you find an O(nums1.length + nums2.length) solution?
::::
### Example 1:
- Input: `nums1 = [4,1,2], nums2 = [1,3,4,2]`
- Output: `[-1,3,-1]`
- Explanation:
- The next greater element for each value of `nums1` is as follows:
- `4` is underlined in `nums2 = [1,3,4,2]`. There is no next greater element, so the answer is `-1`.
- `1` is underlined in `nums2 = [1,3,4,2]`. The next greater element is `3`.
- `2` is underlined in `nums2 = [1,3,4,2]`. There is no next greater element, so the answer is `-1`.
### Example 2:
- Input: `nums1 = [2,4], nums2 = [1,2,3,4]`
- Output: `[3,-1]`
- Explanation:
- The next greater element for each value of `nums1` is as follows:
- `2` is underlined in `nums2 = [1,2,3,4]`. The next greater element is `3`.
- `4` is underlined in `nums2 = [1,2,3,4]`. There is no next greater element, so the answer is `-1`.
### Constraints:
- `1 <= nums1.length <= nums2.length <= 1000`
- `0 <= nums1[i], nums2[i] <= 10^4`
- All integers in `nums1` and `nums2` are unique.
- All the integers of `nums1` also appear in nums2.
## Solution
```py
class Solution:
def nextGreaterElement(self, nums1: list[int], nums2: list[int]) -> list[int]:
mono_stack = []
next_greater = {}
for cur in nums2:
while mono_stack and cur > mono_stack[-1]:
val = mono_stack.pop()
next_greater[val] = cur
mono_stack.append(cur)
return [next_greater.get(x, -1) for x in nums1]
```
@@ -7,6 +7,17 @@ topics:
- { name: "Stack", slug: "stack" }
- { name: "Monotonic Stack", slug: "monotonic-stack" }
video: "cTBiBSnjO3c"
issue: "https://github.com/prdlk/leetcode/issues/72"
companies:
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Chime", period: "Three Months", frequency: 100 }
- { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
- { name: "Amazon", period: "Three Months", frequency: 42.8 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Anduril", period: "Six Months", frequency: 92.8 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
- { name: "Microsoft", period: "Six Months", frequency: 42.5 }
sidebar:
label: 'Daily Temperatures'
badge: 'Medium'
@@ -0,0 +1,59 @@
---
title: '84. Largest Rectangle in Histogram'
description: Given an array of integers heights representing the histogram's bar height where the width of each bar is 1, return the area of the largest rectangle in the histogram
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Stack", slug: "stack" }
- { name: "Monotonic Stack", slug: "monotonic-stack" }
- { name: "Range Minimum/Maximum Query", slug: "range-minimum-maximum-query" }
issue: "https://github.com/prdlk/leetcode/issues/76"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Accenture", period: "Three Months", frequency: 88.6 }
- { name: "tcs", period: "Three Months", frequency: 73.7 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
sidebar:
label: 'Largest Rectangle in Histogram'
badge: 'Hard'
---
### Example 1:
- Input: `heights = [2,1,5,6,2,3]`
- Output: `10`
- Explanation: The above is a histogram where width of each bar is `1`. The largest rectangle is shown in the red area, which has an area = `10` units.
### Example 2:
- Input: `heights = [2,4]`
- Output: `4`
### Constraints:
- `1 <= heights.length <= 10^5`
- `0 <= heights[i] <= 10^4`
## Solution
```py
class Solution:
def largestRectangleArea(self, heights: list[int]) -> int:
maxArea = 0
stack = []
for i, h in enumerate(heights):
start = i
while stack and stack[-1][1] > h:
index, height = stack.pop()
width = i - index
maxArea = max(maxArea, height * width)
start = index
stack.append((start, h))
for i, h in stack:
maxArea = max(maxArea, h * (len(heights) - i))
return maxArea
```
@@ -8,6 +8,10 @@ topics:
- { name: "Sorting", slug: "sorting" }
- { name: "Monotonic Stack", slug: "monotonic-stack" }
video: "Pr6T-3yB9RM"
issue: "https://github.com/prdlk/leetcode/issues/73"
companies:
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Amazon", period: "Six Months", frequency: 26 }
sidebar:
label: 'Car Fleet'
badge: 'Medium'
@@ -0,0 +1,50 @@
---
title: '901. Online Stock Span'
description: Design an algorithm that collects daily price quotes for some stock and returns the span of that stock's price for the current day
icon: dot
topics:
- { name: "Stack", slug: "stack" }
- { name: "Design", slug: "design" }
- { name: "Monotonic Stack", slug: "monotonic-stack" }
- { name: "Data Stream", slug: "data-stream" }
issue: "https://github.com/prdlk/leetcode/issues/75"
companies:
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Amazon", period: "Six Months", frequency: 26 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Online Stock Span'
badge: 'Medium'
---
### Example 1:
- Input: ``
- Output: ``
- Explanation: Input ["StockSpanner", "next", "next", "next", "next", "next", "next", "next"] `[[]`, `[100]`, `[80]`, `[60]`, `[70]`, `[60]`, `[75]`, [85]] Output [null, `1`, `1`, `1`, `2`, `1`, `4`, 6] Explanation StockSpanner stockSpanner = new StockSpanner(); stockSpanner.next(100); // return `1` stockSpanner.next(80); // return `1` stockSpanner.next(60); // return `1` stockSpanner.next(70); // return `2` stockSpanner.next(60); // return `1` stockSpanner.next(75); // return `4`, because the last `4` prices (including today's `price` of `75`) were less than or equal to today's `price`. stockSpanner.next(85); // return `6`
### Constraints:
- `1 <= price <= 10^5`
- At most 10^4 calls will be made to next.
## Solution
```py
class StockSpanner:
def __init__(self):
self.stack = []
def next(self, price: int) -> int:
ans = 1
while self.stack and self.stack[-1][0] <= price:
ans += self.stack.pop()[1]
self.stack.append([price, ans])
return ans
# Your StockSpanner object will be instantiated and called as such:
# obj = StockSpanner()
# param_1 = obj.next(price)
```
@@ -3,3 +3,34 @@ title: Monotonic Stack
description: 'A stack keeps its items in sorted order, which finds the next larger or smaller item in one pass.'
hidden: true
---
<YouTube id="Dq_ObZwTY_Q" title="Monotonic Stack" />
A monotonic stack keeps its values in sorted order as you push elements. The order can be increasing or decreasing, depending on the problem.
A decreasing monotonic stack is the most common version. Before pushing a new value `x`, we pop from the top while the top is smaller than or equal to `x`. After those pops, pushing `x` keeps the stack decreasing from bottom to top.
This push rule is the whole idea. A monotonic deque uses the same rule, but a deque also lets you remove old elements from the front, which is useful for sliding window problems.
## Example Implementation
This implementation maintains a decreasing monotonic stack.
```python
def mono_stack(insert_entries):
stack = []
for entry in insert_entries:
# Pop smaller (or equal) values so stack stays decreasing.
while stack and stack[-1] <= entry:
stack.pop()
# Do something with the popped item here
stack.append(entry)
```
:::tip
In interview problems, the stack usually stores indices instead of values. You can read the value from the original array when needed, and the index gives you distance information such as **"how many steps away is the next greater element."**
:::
For an array `nums`, if index `j` pops when you process index `i`, then `i` is the first index to the right that satisfies the stack condition for `j`. In a next-greater-element problem, that means `nums[i]` is the next greater value for `nums[j]`.
@@ -6,6 +6,15 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Prefix Sum", slug: "prefix-sum" }
video: "bNvIQI2wAjk"
issue: "https://github.com/prdlk/leetcode/issues/37"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 70.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
- { name: "Asana", period: "Six Months", frequency: 100 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
sidebar:
label: 'Product of Array Except Self'
badge: 'Medium'
@@ -7,6 +7,12 @@ topics:
- { name: "Design", slug: "design" }
- { name: "Prefix Sum", slug: "prefix-sum" }
video: "2pndAmo_sMA"
issue: "https://github.com/prdlk/leetcode/issues/36"
companies:
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Meta", period: "Six Months", frequency: 24.5 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
sidebar:
label: 'Range Sum Query - Immutable'
badge: 'Easy'
@@ -0,0 +1,61 @@
---
title: '525. Contiguous Array'
description: Given a binary array nums, return the maximum length of a contiguous subarray with an equal number of 0 and 1
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Hash Table", slug: "hash-table" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/39"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Cisco", period: "Three Months", frequency: 100 }
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Akamai", period: "Six Months", frequency: 100 }
- { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
- { name: "Microsoft", period: "Six Months", frequency: 32 }
sidebar:
label: 'Contiguous Array'
badge: 'Medium'
---
### Example 1:
- Input: `nums = [0,1]`
- Output: `2`
- Explanation: [0, 1] is the longest contiguous subarray with an equal number of `0` and `1`.
### Example 2:
- Input: `nums = [0,1,0]`
- Output: `2`
- Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal number of `0` and `1`.
### Example 3:
- Input: `nums = [0,1,1,1,1,1,0,0,0]`
- Output: `6`
- Explanation: `[1,1,1,0,0,0]` is the longest contiguous subarray with equal number of `0` and `1`.
### Constraints:
- `1 <= nums.length <= 10^5`
- `nums[i]` is either 0 or 1.
## Solution
```py
class Solution:
def findMaxLength(self, nums: List[int]) -> int:
map = {0: -1}
count = 0
longest = 0
for i, num in enumerate(nums):
count += 1 if num == 1 else -1
if count in map:
longest = max(longest, i - map[count])
else:
map[count] = i
return longest
```
@@ -7,6 +7,22 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "Prefix Sum", slug: "prefix-sum" }
video: "fFVZt-6sgyo"
issue: "https://github.com/prdlk/leetcode/issues/38"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "Visa", period: "Three Months", frequency: 80.9 }
- { name: "Bloomberg", period: "Three Months", frequency: 74.8 }
- { name: "Salesforce", period: "Three Months", frequency: 64.7 }
- { name: "Amazon", period: "Three Months", frequency: 57.1 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Accenture", period: "Six Months", frequency: 100 }
- { name: "IBM", period: "Six Months", frequency: 94.5 }
- { name: "Infosys", period: "Six Months", frequency: 76.3 }
- { name: "Apple", period: "Six Months", frequency: 74.7 }
- { name: "josh technology", period: "Six Months", frequency: 74 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "Yandex", period: "Six Months", frequency: 69.2 }
sidebar:
label: 'Subarray Sum Equals K'
badge: 'Medium'
@@ -0,0 +1,55 @@
---
title: '974. Subarray Sums Divisible by K'
description: Given an integer array nums and an integer k, return the number of non-empty subarrays that have a sum divisible by k
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Hash Table", slug: "hash-table" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/40"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "TikTok", period: "Three Months", frequency: 70.9 }
- { name: "Amazon", period: "Three Months", frequency: 21.2 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
sidebar:
label: 'Subarray Sums Divisible by K'
badge: 'Medium'
---
### Example 1:
- Input: `nums = [4,5,0,-2,-3,1], k = 5`
- Output: `7`
- Explanation: There are `7` subarrays with a sum divisible by `k = 5`: [4, `5`, `0`, `-2`, `-3`, 1], `[5]`, [5, 0], [5, `0`, `-2`, -3], `[0]`, [0, `-2`, -3], [-2, -3]
### Example 2:
- Input: `nums = [5], k = 9`
- Output: `0`
### Constraints:
- `1 <= nums.length <= 3 * 10^4`
- `-10^4 <= nums[i] <= 10^4`
- `2 <= k <= 10^4`
## Solution
```py
class Solution:
def subarraysDivByK(self, nums: list[int], k: int) -> int:
remainder_counts = {0: 1}
cur_sum = 0
count = 0
for n in nums:
cur_sum += n
remainder = cur_sum % k
if remainder in remainder_counts:
count += remainder_counts[remainder]
remainder_counts[remainder] = remainder_counts.get(remainder, 0) + 1
return count
```
@@ -3,3 +3,43 @@ title: Prefix Sum
description: 'A running total is stored at each index, so the sum of any range is one subtraction.'
hidden: true
---
Suppose you are handed an array and asked for the sum of the elements between index `i` and index `j`. One query is easy: loop from `i` to `j` and add. But now imagine thousands of such queries over the same array, or a search that inspects the sum of every possible subarray. Recomputing each range from scratch costs `O(n)` per query, and the work piles up fast.
Prefix sum removes that repetition. You spend `O(n)` once to precompute running totals, and afterward every range sum collapses into a single subtraction that runs in `O(1)`, no matter how wide the range.
<YouTube id="CRVxUgmIO8M" title="Prefix Sum Explained" />
## Transformation
A prefix sum turns an array into a new array of running totals. For an input array `arr` of length `n`, build a `prefix` array of length `n + 1`:
`prefix[0] = 0`
`prefix[k] = arr[0] + arr[1] + ... + arr[k-1]`
Each entry is the previous total plus one more element, so a single pass builds the whole thing:
`prefix[k] = prefix[k-1] + arr[k-1]`
The leading `prefix[0] = 0` is the sum of zero elements. That extra slot is what makes the range math below land exactly on the boundaries, which is why `prefix` has one more cell than `arr`.
<Frame caption="Each bar is the running total up to that index. Every step keeps the previous total (blue) and adds one new element (amber)" hint="">
![](../../../public/prefix-sum_1.png)
</Frame>
## Any range sum is one subtraction
The sum of the subarray from index `i` up to (but not including) `j` is `prefix[j] - prefix[i]`. `prefix[j]` is the total of everything before `j`, and `prefix[i]` is the total of everything before `i`, so subtracting throws away the front you did not ask for and leaves the middle.
## Watch the boundaries
The one place prefix sums trip people up is the off-by-one at the edges. Keep three facts straight: `prefix` has length `n + 1`, `prefix[0]` is `0`, and `sum(arr[i..j-1]) = prefix[j] - prefix[i]` uses an exclusive right index `j`. If a problem hands you an inclusive right index `r`, translate it to `prefix[r + 1] - prefix[i]`.
## When to reach for it
Prefix sums fit whenever you need repeated range sums over a fixed array, or when an algorithm searches across subarray boundaries. For a single one-off sum, a plain loop is simpler; the prefix array earns its `O(n)` setup only once the same array is queried many times.
@@ -0,0 +1,63 @@
---
title: '1004. Max Consecutive Ones III'
description: Given a binary array nums and an integer k, return the maximum number of consecutive 1's in the array if you can flip at most k 0's
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
- { name: "Sliding Window", slug: "sliding-window" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/56"
companies:
- { name: "EPAM Systems", period: "Thirty Days", frequency: 89.8 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Tekion", period: "Three Months", frequency: 100 }
- { name: "DE Shaw", period: "Three Months", frequency: 80.2 }
- { name: "Google", period: "Three Months", frequency: 38.7 }
- { name: "Infosys", period: "Six Months", frequency: 67.9 }
- { name: "Yandex", period: "Six Months", frequency: 59.6 }
- { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
- { name: "Microsoft", period: "Six Months", frequency: 42.5 }
sidebar:
label: 'Max Consecutive Ones III'
badge: 'Medium'
---
### Example 1:
- Input: `nums = [1,1,1,0,0,0,1,1,1,1,0], k = 2`
- Output: `6`
- Explanation: `[1,1,1,0,0,1,1,1,1,1,1]` Bolded numbers were flipped from `0` to `1`. The longest subarray is underlined.
### Example 2:
- Input: `nums = [0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,1,1,1,1], k = 3`
- Output: `10`
- Explanation: `[0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1]` Bolded numbers were flipped from `0` to `1`. The longest subarray is underlined.
### Constraints:
- `1 <= nums.length <= 10^5`
- `nums[i]` is either 0 or 1.
- `0 <= k <= nums.length`
## Solution
```py
class Solution:
def longestOnes(self, nums: list[int], k: int) -> int:
left = 0
cur = 0
ans = 0
for right in range(len(nums)):
if nums[right] == 0:
cur += 1
while cur > k:
if nums[left] == 0:
cur -= 1
left += 1
ans = max(ans, right - left + 1)
return ans
```
@@ -6,6 +6,27 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Dynamic Programming", slug: "dynamic-programming" }
video: "1pkOgXD63yU"
issue: "https://github.com/prdlk/leetcode/issues/50"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
- { name: "Infosys", period: "Thirty Days", frequency: 80.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Google", period: "Thirty Days", frequency: 65.3 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Atlassian", period: "Three Months", frequency: 100 }
- { name: "Media.net", period: "Three Months", frequency: 100 }
- { name: "Nvidia", period: "Three Months", frequency: 87.7 }
- { name: "Meta", period: "Three Months", frequency: 70.4 }
- { name: "Apple", period: "Three Months", frequency: 69 }
- { name: "Microsoft", period: "Three Months", frequency: 60.5 }
- { name: "Mastercard", period: "Six Months", frequency: 79 }
- { name: "Accenture", period: "Six Months", frequency: 75 }
- { name: "Adobe", period: "Six Months", frequency: 74.3 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "IBM", period: "Six Months", frequency: 70.1 }
- { name: "TikTok", period: "Six Months", frequency: 55.2 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
sidebar:
label: 'Best Time to Buy and Sell Stock'
badge: 'Easy'
@@ -0,0 +1,63 @@
---
title: '209. Minimum Size Subarray Sum'
description: Given an array of positive integers nums and a positive integer target, return the minimal length of a subarray whose sum is greater than or equal to target. If there is no such subarray, return 0 instead
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
- { name: "Sliding Window", slug: "sliding-window" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/54"
companies:
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Google", period: "Three Months", frequency: 45 }
- { name: "Amazon", period: "Three Months", frequency: 28.9 }
sidebar:
label: 'Minimum Size Subarray Sum'
badge: 'Medium'
---
::::warning
If you have figured out the O(n) solution, try coding another solution of which the time complexity is O(n log(n)).
::::
### Example 1:
- Input: `target = 7, nums = [2,3,1,2,4,3]`
- Output: `2`
- Explanation: The subarray `[4,3]` has the minimal length under the problem constraint.
### Example 2:
- Input: `target = 4, nums = [1,4,4]`
- Output: `1`
### Example 3:
- Input: `target = 11, nums = [1,1,1,1,1,1,1,1]`
- Output: `0`
### Constraints:
- `1 <= target <= 10^9`
- `1 <= nums.length <= 10^5`
- `1 <= nums[i] <= 10^4`
## Solution
```py
class Solution:
def minSubArrayLen(self, target: int, nums: list[int]) -> int:
window_sum = 0
length = len(nums) + 1
left = 0
for right in range(len(nums)):
window_sum += nums[right]
while window_sum >= target:
length = min(length, right - left + 1)
window_sum -= nums[left]
left += 1
if length > len(nums):
return 0
return length
```
@@ -1,66 +0,0 @@
---
title: '3. Longest Substring Without Repeating Characters'
description: Given a string s, find the length of the longest substring without duplicate characters
icon: dot
topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
- { name: "Sliding Window", slug: "sliding-window" }
video: "wiGpQwVHdE0"
sidebar:
label: 'Longest Substring Without Repeating Characters'
badge: 'Medium'
---
### Example 1:
- Input: `s = "abcabcbb"`
- Output: `3`
- Explanation: The answer is "abc", with the length of `3`. Note that "bca" and "cab" are also correct answers.
### Example 2:
- Input: `s = "bbbbb"`
- Output: `1`
- Explanation: The answer is "b", with the length of `1`.
### Example 3:
- Input: `s = "pwwkew"`
- Output: `3`
- Explanation: The answer is "wke", with the length of `3`. Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
### Constraints:
- `0 <= s.length <= 10^5`
- `s` consists of English letters, digits, symbols and spaces.
## Approach
```mermaid
flowchart TD
S(["lengthOfLongestSubstring(s)"]) --> I["left = 0, ans = 0, window = set()"]
I --> L{"more (right, c) in s?"}
L -- no --> E(["return ans"])
L -- yes --> W{"c already in window?"}
W -- yes --> P["window.remove(s[left]); left += 1 — shrink until c is free"]
P --> W
W -- no --> A["window.add(c)"]
A --> M["ans = max(ans, right - left + 1)"]
M --> L
```
## Solution
```py
class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
left = 0
ans = 0
window = set()
for right, c in enumerate(s):
while c in window:
window.remove(s[left])
left += 1
window.add(c)
ans = max(ans, right - left + 1)
return ans
```
@@ -0,0 +1,96 @@
---
title: '3. Longest Substring Without Repeating Characters'
description: Given a string s, find the length of the longest substring without duplicate characters
icon: dot
topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
- { name: "Sliding Window", slug: "sliding-window" }
video: "wiGpQwVHdE0"
issue: "https://github.com/prdlk/leetcode/issues/51"
companies:
- { name: "Ola Cabs", period: "Thirty Days", frequency: 100 }
- { name: "Visa", period: "Thirty Days", frequency: 100 }
- { name: "Amazon", period: "Thirty Days", frequency: 84.9 }
- { name: "Microsoft", period: "Thirty Days", frequency: 75.6 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Google", period: "Thirty Days", frequency: 63.7 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Cognizant", period: "Three Months", frequency: 100 }
- { name: "Optum", period: "Three Months", frequency: 100 }
- { name: "Spotify", period: "Three Months", frequency: 100 }
- { name: "Deloitte", period: "Three Months", frequency: 89.1 }
- { name: "Infosys", period: "Three Months", frequency: 87.4 }
- { name: "Apple", period: "Three Months", frequency: 69 }
- { name: "Goldman Sachs", period: "Three Months", frequency: 66.3 }
- { name: "Media.net", period: "Six Months", frequency: 100 }
- { name: "Wipro", period: "Six Months", frequency: 100 }
- { name: "Wissen Technology", period: "Six Months", frequency: 100 }
- { name: "Zoho", period: "Six Months", frequency: 100 }
- { name: "Qualcomm", period: "Six Months", frequency: 92 }
- { name: "Turing", period: "Six Months", frequency: 89 }
- { name: "EPAM Systems", period: "Six Months", frequency: 86.7 }
- { name: "Netflix", period: "Six Months", frequency: 83.1 }
- { name: "Tesla", period: "Six Months", frequency: 80.9 }
- { name: "Yandex", period: "Six Months", frequency: 69.2 }
- { name: "Agoda", period: "Six Months", frequency: 65 }
- { name: "IBM", period: "Six Months", frequency: 60.1 }
- { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
sidebar:
label: 'Longest Substring Without Repeating Characters'
badge: 'Medium'
---
### Example 1:
- Input: `s = "abcabcbb"`
- Output: `3`
- Explanation: The answer is "abc", with the length of `3`. Note that "bca" and "cab" are also correct answers.
### Example 2:
- Input: `s = "bbbbb"`
- Output: `1`
- Explanation: The answer is "b", with the length of `1`.
### Example 3:
- Input: `s = "pwwkew"`
- Output: `3`
- Explanation: The answer is "wke", with the length of `3`. Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
### Constraints:
- `0 <= s.length <= 10^5`
- `s` consists of English letters, digits, symbols and spaces.
## Approach
```mermaid
flowchart TD
S(["lengthOfLongestSubstring(s)"]) --> I["left = 0, ans = 0, window = set()"]
I --> L{"more (right, c) in s?"}
L -- no --> E(["return ans"])
L -- yes --> W{"c already in window?"}
W -- yes --> P["window.remove(s[left]); left += 1 — shrink until c is free"]
P --> W
W -- no --> A["window.add(c)"]
A --> M["ans = max(ans, right - left + 1)"]
M --> L
```
## Solution
```py
class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
left = 0
ans = 0
window = set()
for right, c in enumerate(s):
while c in window:
window.remove(s[left])
left += 1
window.add(c)
ans = max(ans, right - left + 1)
return ans
```
@@ -7,6 +7,16 @@ topics:
- { name: "String", slug: "string" }
- { name: "Sliding Window", slug: "sliding-window" }
video: "gqXU1UyA8pk"
issue: "https://github.com/prdlk/leetcode/issues/52"
companies:
- { name: "Zoho", period: "Thirty Days", frequency: 100 }
- { name: "Google", period: "Thirty Days", frequency: 46.6 }
- { name: "DE Shaw", period: "Three Months", frequency: 91.8 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Meta", period: "Six Months", frequency: 32.7 }
sidebar:
label: 'Longest Repeating Character Replacement'
badge: 'Medium'
@@ -8,6 +8,15 @@ topics:
- { name: "String", slug: "string" }
- { name: "Sliding Window", slug: "sliding-window" }
video: "UbyhOgBN834"
issue: "https://github.com/prdlk/leetcode/issues/53"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
sidebar:
label: 'Permutation in String'
badge: 'Medium'
@@ -0,0 +1,53 @@
---
title: '643. Maximum Average Subarray I'
description: You are given an integer array nums consisting of n elements, and an integer k
icon: dot
topics:
- { name: "Array", slug: "array" }
- { name: "Sliding Window", slug: "sliding-window" }
issue: "https://github.com/prdlk/leetcode/issues/55"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Meta", period: "Six Months", frequency: 32.7 }
sidebar:
label: 'Maximum Average Subarray I'
badge: 'Easy'
---
### Example 1:
- Input: `nums = [1,12,-5,-6,50,3], k = 4`
- Output: `12.75000`
- Explanation: Maximum average is `(12 - 5 - 6 + 50`) / `4 = 51 / 4 = 12.75`
### Example 2:
- Input: `nums = [5], k = 1`
- Output: `5.00000`
### Constraints:
- `n == nums.length`
- `1 <= k <= n <= 10^5`
- `-10^4 <= nums[i] <= 10^4`
## Solution
```py
class Solution:
def findMaxAverage(self, nums: list[int], k: int) -> float:
window_sum = 0
for i in range(k):
window_sum += nums[i]
largest = window_sum
for right in range(k, len(nums)):
left = right - k
window_sum -= nums[left]
window_sum += nums[right]
largest = max(largest, window_sum)
return largest / k
```
@@ -0,0 +1,55 @@
---
title: '76. Minimum Window Substring'
description: Given two strings s and t of lengths m and n respectively, return the minimum window substring of s such that every character in t (including duplicates) is included in the window. If there is no such substring, return the empty string ""
icon: dot
topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
- { name: "Sliding Window", slug: "sliding-window" }
issue: "https://github.com/prdlk/leetcode/issues/57"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
- { name: "Lyft", period: "Three Months", frequency: 93.3 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Google", period: "Three Months", frequency: 23.9 }
- { name: "Oracle", period: "Six Months", frequency: 78.7 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Minimum Window Substring'
badge: 'Hard'
---
::::warning
Could you find an algorithm that runs in O(m + n) time?
::::
### Example 1:
- Input: `s = "ADOBECODEBANC", t = "ABC"`
- Output: `"BANC"`
- Explanation: The minimum window substring "BANC" includes 'A', 'B', and 'C' from string `t`.
### Example 2:
- Input: `s = "a", t = "a"`
- Output: `"a"`
- Explanation: The entire string `s` is the minimum window.
### Example 3:
- Input: `s = "a", t = "aa"`
- Output: `""`
- Explanation: Both 'a's from `t` must be included in the window. Since the largest window of `s` only has one 'a', return empty string.
### Constraints:
- `m == s.length`
- `n == t.length`
- `1 <= m, n <= 10^5`
- `s` and `t` consist of uppercase and lowercase English letters.
## Solution
```py
class Solution:
def minWindow(self, s: str, t: str) -> str:
```
@@ -4,11 +4,9 @@ description: 'Sliding window is a specialized two-pointer family where the point
hidden: true
---
:::warning
This is the family where invariants matter the most
:::
## What Makes Sliding Window Different?
<YouTube id="tSTO9w3piAo" title="Sliding Window" />
Many problems have two moving boundaries. That alone does not make them sliding window problems.
@@ -18,87 +16,199 @@ A problem belongs to this family when:
- you can update the window state incrementally as elements enter or leave
- you maintain a condition that tells you whether the window is valid
## What is an Invariant?
:::tip
The rule for all three: every element enters once and leaves once, so the whole thing runs in O(n).
:::
<Accordion>
<AccordionItem title="What is an invariant?">
An invariant is a statement that stays true before and after every iteration. In a sliding window, that statement usually describes the window itself, such as “the window is valid,” “it has no duplicates,” or “its sum is at most the target.” It can also describe a helper structure, such as “the frequency map matches the characters currently inside the window.”
</AccordionItem>
<AccordionItem title="Why invariants matter?">
Without an invariant, shrinking the window is just a guess. You no longer know when the window is valid, when to update the answer, or why the left pointer should stop. The invariant is what makes the algorithm correct.
</AccordionItem>
<AccordionItem title="How sliding window differs from other two-pointer families?">
Sliding window is not the same as every other two-pointer pattern. In Container With Most Water, the interval is only the remaining search space. In sliding window, the interval itself is the thing you care about. In Remove Duplicates, the left side is already the finished answer prefix. In sliding window, both pointers describe a live window that is still being checked.
</AccordionItem>
</Accordion>
An invariant is a statement that stays true before and after every iteration.
For sliding window, the invariant often looks like one of these:
- "the current window is valid"
- "the current window contains no duplicates"
- "the current window sum is at most the target"
- "the frequency map matches the characters currently inside the window"
The invariant gives the loop its structure:
- expand the window by moving right
- update the window state
- if the invariant breaks, shrink from the left until it holds again
- update the answer only when you know the invariant is satisfied
## Why Invariants Matter
Without an invariant, shrinking the window becomes arbitrary. You no longer know:
- when the window is valid
- when to update the answer
- why the left pointer should stop moving
- The invariant is the reason the algorithm is correct.
## The Main Subtypes
### 1. Fixed-size windows
## 1. Fixed-size windows
:::tip
The window size never changes. The main task is updating the window state efficiently when one element enters and one leaves.
:::
![Sliding Window Fixed Size](../../../public/sliding-window-fixed-size.svg)
### 2. Flexible-size windows with a validity rule
<Frame caption="Sliding Window Fixed" hint="">
![](../../../public/sliding-window-fixed-size.svg)
</Frame>
```python
def sliding_window_fixed(input, window_size):
ans = window = input[0:window_size]
for right in range(window_size, len(input)):
left = right - window_size
remove input[left] from window
append input[right] to window
ans = optimal(ans, window)
return ans
```
<Steps>
<Step title="">
Add `nums[right]` to the window.
</Step>
<Step title="">
If the window has `k` elements, record the answer.
</Step>
<Step title="">
Remove the leftmost element so the window stays at size `k`.
</Step>
</Steps>
## 2. Flexible-size windows with a validity rule
:::tip
Here the window expands until invalid, then shrinks until valid again.
:::
![Flexible-size windows](../../../public/sliding-window-flexible.svg)
<Frame caption="Sliding Window Flexible" hint="">
![](../../../public/sliding-window-flexible.svg)
</Frame>
### 3. Frequency-tracking windows
<Tabs inline>
<Tab title="Longest Window">
```python
def sliding_window_flexible_longest(input):
initialize window, ans
left = 0
for right in range(len(input)):
append input[right] to window
while invalid(window): # update left until window is valid again
remove input[left] from window
left += 1
ans = max(ans, window) # window is guaranteed to be valid here
return ans
```
</Tab>
<Tab title="Shortest Window">
```python
def sliding_window_flexible_shortest(input):
initialize window, ans
left = 0
for right in range(len(input)):
append input[right] to window
while valid(window):
ans = min(ans, window) # window is guaranteed to be valid here
remove input[left] from window
left += 1
return ans
```
</Tab>
</Tabs>
<Steps>
<Step title="">
Add `nums[right]` to the window.
</Step>
<Step title="">
While the window is invalid, remove `nums[left]` and move `left` up.
</Step>
<Step title="">
The window is now valid. Record its size.
</Step>
</Steps>
---
## 3. Frequency-tracking windows
:::tip
The difficulty comes from keeping the bookkeeping correct as characters enter and leave.
:::
![Frequency-tracking windows](../../../public/sliding-window-frequency.svg)
## How Sliding Window Differs From Other Two-Pointer Families
<Frame caption="Frequency-tracking windows" hint="">
Compare it with Container With Most Water:
![](../../../public/sliding-window-frequency.svg)
- In sliding window, the interval itself has meaning.
- In container, the interval is just the remaining search space.
</Frame>
Compare it with Remove Duplicates:
```python
from collections import defaultdict
- In sliding window, both pointers describe a live window.
- In compaction, the left part of the array is already the answer prefix.
def frequency_window(s):
left = 0
counts = defaultdict(int)
best = 0
## A Practical Template
for right in range(len(s)):
counts[s[right]] += 1 # character enters
A common variable-size sliding window has this shape:
while counts[s[right]] > 1: # rule: no repeats
counts[s[left]] -= 1 # character leaves
left += 1
1. Add the new rightmost element.
2. Update the window state.
3. While the invariant is broken, remove elements from the left.
4. Once the invariant is restored, update the answer.
best = max(best, right - left + 1)
The exact data structure changes from problem to problem, but the logic stays the same.
return best
```
As you work through this section, keep asking:
<Steps>
<Step title="">
Add `s[right]` to the window.
</Step>
<Step title="">
While the window has more than one character, remove `s[left]` and move `left` up.
</Step>
<Step title="">
The window is now valid. Record its size.
</Step>
</Steps>
---
For anagram or "minimum window substring" problems, you also keep a target count. Track how many characters currently match the target with one integer (`matched`). Update it only when a count crosses the target value. This keeps each step `O(1)`.
```python
def anagram_window(s, p):
need = defaultdict(int)
for c in p:
need[c] += 1
counts = defaultdict(int)
matched = 0 # how many chars have counts[c] == need[c]
result = []
k = len(p)
for right in range(len(s)):
c = s[right]
counts[c] += 1
if counts[c] == need[c]:
matched += 1
if right >= k: # window too big, remove left
d = s[right - k]
if counts[d] == need[d]:
matched -= 1
counts[d] -= 1
if matched == len(need):
result.append(right - k + 1)
return result
```
:::warning
What invariant does my window maintain, and at what moment is it safe to update the answer?
:::
@@ -7,6 +7,13 @@ topics:
- { name: "Math", slug: "math" }
- { name: "Stack", slug: "stack" }
video: "iu0082c4HDE"
issue: "https://github.com/prdlk/leetcode/issues/69"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Yandex", period: "Six Months", frequency: 59.6 }
- { name: "Meta", period: "Six Months", frequency: 38.7 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Evaluate Reverse Polish Notation'
badge: 'Medium'
@@ -6,6 +6,16 @@ topics:
- { name: "Stack", slug: "stack" }
- { name: "Design", slug: "design" }
video: "qkLl7nAwDPo"
issue: "https://github.com/prdlk/leetcode/issues/68"
companies:
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Amazon", period: "Three Months", frequency: 28.9 }
- { name: "Google", period: "Three Months", frequency: 28.8 }
- { name: "Odoo", period: "Six Months", frequency: 100 }
- { name: "UiPath", period: "Six Months", frequency: 100 }
- { name: "Infosys", period: "Six Months", frequency: 67.9 }
- { name: "Bloomberg", period: "Six Months", frequency: 45.6 }
sidebar:
label: 'Min Stack'
badge: 'Medium'
@@ -7,6 +7,25 @@ topics:
- { name: "Stack", slug: "stack" }
- { name: "Bracket Sequences", slug: "bracket-sequences" }
video: "WTzjTskDFMg"
issue: "https://github.com/prdlk/leetcode/issues/67"
companies:
- { name: "BlackRock", period: "Thirty Days", frequency: 100 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Accolite", period: "Three Months", frequency: 100 }
- { name: "Intuit", period: "Three Months", frequency: 73.2 }
- { name: "Bloomberg", period: "Three Months", frequency: 68.3 }
- { name: "Meta", period: "Three Months", frequency: 65.3 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Autodesk", period: "Six Months", frequency: 100 }
- { name: "Criteo", period: "Six Months", frequency: 100 }
- { name: "Odoo", period: "Six Months", frequency: 100 }
- { name: "Tripadvisor", period: "Six Months", frequency: 100 }
- { name: "Virtu Financial", period: "Six Months", frequency: 100 }
- { name: "IBM", period: "Six Months", frequency: 91.1 }
- { name: "Epic Systems", period: "Six Months", frequency: 89.6 }
- { name: "LinkedIn", period: "Six Months", frequency: 85.6 }
sidebar:
label: 'Valid Parentheses'
badge: 'Easy'
@@ -0,0 +1,49 @@
---
title: '224. Basic Calculator'
description: Given a string s representing a valid expression, implement a basic calculator to evaluate it, and return the result of the evaluation
icon: dot
topics:
- { name: "Math", slug: "math" }
- { name: "String", slug: "string" }
- { name: "Stack", slug: "stack" }
- { name: "Recursion", slug: "recursion" }
issue: "https://github.com/prdlk/leetcode/issues/71"
companies:
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Amazon", period: "Three Months", frequency: 28.9 }
- { name: "Google", period: "Three Months", frequency: 23.9 }
- { name: "Meta", period: "Six Months", frequency: 24.5 }
sidebar:
label: 'Basic Calculator'
badge: 'Hard'
---
### Example 1:
- Input: `s = "1 + 1"`
- Output: `2`
### Example 2:
- Input: `s = " 2-1 + 2 "`
- Output: `3`
### Example 3:
- Input: `s = "(1+(4+5+2)-3)+(6+8)"`
- Output: `23`
### Constraints:
- `1 <= s.length <= 3 * 10^5`
- `s` consists of digits, '+', '-', '(', ')', and ' '.
- `s` represents a valid expression.
- '+' is not used as a unary operation (i.e., "+1" and "+(2 + 3)" is invalid).
- '-' could be used as a unary operation (i.e., "-1" and "-(2 + 3)" is valid).
- There will be no two consecutive operators in the input.
- Every number and running calculation will fit in a signed 32-bit integer.
## Solution
```py
class Solution:
def calculate(self, s: str) -> int:
```
@@ -0,0 +1,69 @@
---
title: '71. Simplify Path'
description: You are given an absolute path for a Unix-style file system, which always begins with a slash '/'. Your task is to transform this absolute path into its simplified canonical path
icon: dot
topics:
- { name: "String", slug: "string" }
- { name: "Stack", slug: "stack" }
issue: "https://github.com/prdlk/leetcode/issues/70"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Google", period: "Three Months", frequency: 28.8 }
- { name: "Amazon", period: "Three Months", frequency: 21.2 }
- { name: "Snowflake", period: "Six Months", frequency: 58.7 }
- { name: "Meta", period: "Six Months", frequency: 50.6 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
sidebar:
label: 'Simplify Path'
badge: 'Medium'
---
### Example 1:
- Input: `path = "/home/"`
- Output: `"/home"`
- Explanation: The trailing slash should be removed.
### Example 2:
- Input: `path = "/home//foo/"`
- Output: `"/home/foo"`
- Explanation: Multiple consecutive slashes are replaced by a single one.
### Example 3:
- Input: `path = "/home/user/Documents/../Pictures"`
- Output: `"/home/user/Pictures"`
- Explanation: A double period ".." refers to the directory up a level (the parent directory).
### Example 4:
- Input: `path = "/../"`
- Output: `"/"`
- Explanation: Going one level up from the root directory is not possible.
### Example 5:
- Input: `path = "/.../a/../b/c/../d/./"`
- Output: `"/.../b/d"`
- Explanation: "..." is a valid name for a directory in this problem.
### Constraints:
- `1 <= path.length <= 3000`
- `path` consists of English letters, digits, period '.', slash '/' or '_'.
- `path` is a valid absolute Unix path.
## Solution
```py
class Solution:
def simplifyPath(self, path: str) -> str:
stack = []
segments = [item for item in path.split("/") if item]
for p in segments:
if stack and p == "..":
stack.pop()
elif not stack and p == ".." or p == ".":
continue
else:
stack.append(p)
return "/" + "/".join(stack)
```
@@ -3,3 +3,60 @@ title: Stack
description: 'Items are added and removed from one end, so the last item added is the first item removed.'
hidden: true
---
A stack works like a stack of plates in a cafeteria. You add new plates on top. When you need a plate, you take from the top. The last plate you added is the first one you remove.
This is **Last-In-First-Out (LIFO)**. The most recent item goes out first.
![](../../../public/stack-plates-metaphor.svg)
## Core Stack Operations
A stack has two fundamental operations:
- **Push**: add an item to the top of the stack
- **Pop**: remove the item at the top of the stack
Some stacks have additional operations:
- **Peek**: get the item at the top of the stack without removing it
- **IsEmpty**: check if the stack is empty
![](../../../public/stack-operations-sequence.svg)
```python
# Using Python list as a stack
stack = []
# Push elements
stack.append(10)
stack.append(20)
stack.append(30)
# Stack: [10, 20, 30] (30 is on top)
# Pop element
top = stack.pop() # Returns 30
# Stack: [10, 20]
# Peek at top
if stack:
top_element = stack[-1] # Returns 20 without removing
```
Python lists provide `append()` for pushing and `pop()` for popping. The `peek()` method is not built-in, but you can implement it yourself.
## Last in, First out
The defining characteristic of a stack is LIFO order. Whatever you put in last comes out first. This is different from a queue, which is First-In-First-Out (FIFO).
Add items: A, B, C
- Stack: [A, B, C] (C on top)
Remove items:
- First pop: C
- Second pop: B
- Third pop: A
The order reverses. Items come out in the opposite order they went in.
@@ -7,6 +7,19 @@ topics:
- { name: "Two Pointers", slug: "two-pointers" }
- { name: "Greedy", slug: "greedy" }
video: "UuiTKBwPgAo"
issue: "https://github.com/prdlk/leetcode/issues/44"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
- { name: "Amazon", period: "Thirty Days", frequency: 75.8 }
- { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "tcs", period: "Thirty Days", frequency: 67.6 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Google", period: "Thirty Days", frequency: 62 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Goldman Sachs", period: "Three Months", frequency: 57 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "IBM", period: "Six Months", frequency: 60.1 }
sidebar:
label: 'Container With Most Water'
badge: 'Medium'
@@ -6,6 +6,19 @@ topics:
- { name: "Two Pointers", slug: "two-pointers" }
- { name: "String", slug: "string" }
video: "jJXJ16kPFWg"
issue: "https://github.com/prdlk/leetcode/issues/41"
companies:
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Bloomberg", period: "Three Months", frequency: 79.9 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Deloitte", period: "Six Months", frequency: 81 }
- { name: "Cognizant", period: "Six Months", frequency: 76.3 }
- { name: "Axon", period: "Six Months", frequency: 75.4 }
- { name: "Apple", period: "Six Months", frequency: 64.8 }
sidebar:
label: 'Valid Palindrome'
badge: 'Easy'
@@ -7,6 +7,23 @@ topics:
- { name: "Two Pointers", slug: "two-pointers" }
- { name: "Sorting", slug: "sorting" }
video: "jzZsG8n2R9A"
issue: "https://github.com/prdlk/leetcode/issues/43"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Google", period: "Thirty Days", frequency: 66.8 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Apple", period: "Three Months", frequency: 80.4 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Cisco", period: "Six Months", frequency: 100 }
- { name: "Wissen Technology", period: "Six Months", frequency: 100 }
- { name: "eBay", period: "Six Months", frequency: 75.2 }
- { name: "Accenture", period: "Six Months", frequency: 75 }
- { name: "Visa", period: "Six Months", frequency: 69.7 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
sidebar:
label: '3Sum'
badge: 'Medium'
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