From 9dc37db2092a7209090de39c1e65c94350b0a344 Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:00 +0800 Subject: [PATCH 1/8] Write the English wiki pages Task: MIL-005#1 Closes #29 --- docs/wiki/Gains.md | 17 +++++++++++ docs/wiki/Hacker-News.md | 57 ++++++++++++++++++++++++++++++++++ docs/wiki/Home.md | 23 ++++++++++++++ docs/wiki/Parsing-HTML.md | 49 ++++++++++++++++++++++++++++++ docs/wiki/Scraping-Ethics.md | 24 +++++++++++++++ docs/wiki/Setup.md | 38 +++++++++++++++++++++++ docs/wiki/Top-100-Movies.md | 59 ++++++++++++++++++++++++++++++++++++ 7 files changed, 267 insertions(+) create mode 100644 docs/wiki/Gains.md create mode 100644 docs/wiki/Hacker-News.md create mode 100644 docs/wiki/Home.md create mode 100644 docs/wiki/Parsing-HTML.md create mode 100644 docs/wiki/Scraping-Ethics.md create mode 100644 docs/wiki/Setup.md create mode 100644 docs/wiki/Top-100-Movies.md diff --git a/docs/wiki/Gains.md b/docs/wiki/Gains.md new file mode 100644 index 0000000..02f4a00 --- /dev/null +++ b/docs/wiki/Gains.md @@ -0,0 +1,17 @@ +**English** · [Dansk](Gains-da) · [Bahasa Melayu](Gains-ms) + +# What we gained + +| Lecture | What we can do now | +| --- | --- | +| [Parsing HTML](Parsing-HTML) | Make a soup, read its structure and select elements by tag, id, class or CSS selector | +| [Hacker News](Hacker-News) | Fetch a live page, read titles, links and scores, convert text to numbers, find the maximum | +| [Scraping ethics](Scraping-Ethics) | Check `robots.txt`, respect copyright and logins, keep requests rare | +| [Top 100 movies](Top-100-Movies) | Scrape a ranked list, reverse it and write it to a file | +| [Setup](Setup) | Work in a virtual environment with `pyproject.toml` and offline tests | + +## Beyond the lectures + +- **Parsing is separate from fetching.** The parsing functions take text, so the tests use saved pages and never need the network. +- **Layers keep rules apart.** The ranking rule has no knowledge of BeautifulSoup or Requests. +- **Screenshots are made by a script** (`tools/make_screenshots.py`), so they can be regenerated after a change. diff --git a/docs/wiki/Hacker-News.md b/docs/wiki/Hacker-News.md new file mode 100644 index 0000000..85e0d70 --- /dev/null +++ b/docs/wiki/Hacker-News.md @@ -0,0 +1,57 @@ +**English** · [Dansk](Hacker-News-da) · [Bahasa Melayu](Hacker-News-ms) + +# Scraping Hacker News + +Lecture: *Scraping a live website*. The code is `hacker_news.py` (parsing) and `http_client.py` (one `requests.get` with a timeout and a `User-Agent`). The commands read the course's static copy of the page; `--source live` reads the real site and `--source fixture` reads the saved copy without network. + +## Step 1: look at the page + +The page lists stories with a title, a link and a score. + +![Step 1: the page](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-1-page.png) + +**What we gained:** live data is richer than a local file, but it can change, so we also keep a saved copy for tests. + +## Step 2: inspect the markup + +The browser's developer tools show the tags: a row `tr.athing`, the title link `.titleline > a` and a `span.score` in the next row. + +![Step 2: markup](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-2-markup.png) + +**What we gained:** we find the right tag by inspecting the page before we write any code. + +## Step 3: titles + +`find_all` on the title links and `get_text()`. + +![Step 3: titles](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-3-titles.png) + +**What we gained:** a list comprehension turns many tags into a plain list of strings. + +## Step 4: links + +`get("href")` of the same anchors. + +![Step 4: links](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-4-links.png) + +**What we gained:** the same element gives both text and attribute values. + +## Step 5: upvotes + +The text `38 points` is split and converted with `int()`. + +![Step 5: upvotes](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-5-upvotes.png) + +**What we gained:** scraped text must be converted to numbers before it can be compared. + +## Step 6: the top story + +`max` over the upvotes finds the most popular article. + +![Step 6: top story](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-6-top.png) + +**What we gained:** once the data is clean, ordinary Python answers questions about it. + +## What we gained + +We can fetch a page with Requests, find the rows, read titles, links and scores, convert them to usable types and answer a question about the data. diff --git a/docs/wiki/Home.md b/docs/wiki/Home.md new file mode 100644 index 0000000..c8f79f6 --- /dev/null +++ b/docs/wiki/Home.md @@ -0,0 +1,23 @@ +**English** · [Dansk](Home-da) · [Bahasa Melayu](Home-ms) + +# scrape-movies wiki + +Day 45 of Udemy's "100 Days of Code: The Complete Python Pro Bootcamp" is about web scraping with Requests and BeautifulSoup. This repository reproduces every lecture step as tested Python code. This wiki shows each step with a screenshot and explains what we gained from it. + +## Pages + +| Page | Lecture | What you get | +| --- | --- | --- | +| [Setup](Setup) | - | Create the `.venv`, install, run the tests | +| [Parsing HTML](Parsing-HTML) | Parsing HTML and making soup; finding and selecting elements | Five steps with screenshots | +| [Hacker News](Hacker-News) | Scraping a live website | Six steps with screenshots | +| [Scraping ethics](Scraping-Ethics) | Is web scraping legal and ethical? | The rules we follow, with a screenshot of `robots.txt` | +| [Top 100 movies](Top-100-Movies) | The 100 movies project | Six steps and `movies.txt` | +| [What we gained](Gains) | All lectures | A short summary of the skills | + +## For whom + +- **Coursists:** readable, runnable code that keeps the assignment's ideas; compare it with your own solution. +- **Visitors:** a small example with tests and only two runtime dependencies, `requests` and `beautifulsoup4`. + +The code and the documents are in the [repository](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies). diff --git a/docs/wiki/Parsing-HTML.md b/docs/wiki/Parsing-HTML.md new file mode 100644 index 0000000..8355568 --- /dev/null +++ b/docs/wiki/Parsing-HTML.md @@ -0,0 +1,49 @@ +**English** · [Dansk](Parsing-HTML-da) · [Bahasa Melayu](Parsing-HTML-ms) + +# Parsing HTML + +Lectures: *Parsing HTML and Making Soup* and *Finding and Selecting Elements*. The sample page is `tests/fixtures/website.html`; the code is `soup_basics.py`. + +## Step 1: create a soup and read the title + +`BeautifulSoup(html, "html.parser")` turns the HTML text into a soup object. `soup.title.string` is the text of the title tag. + +![Step 1: soup title](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-1-title.png) + +**What we gained:** HTML text becomes an object we can navigate, and a tag is reached with plain attribute access. + +## Step 2: prettify + +`soup.prettify()` writes the document with one tag per line, which makes the nesting visible. + +![Step 2: prettify](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-2-prettify.png) + +**What we gained:** reading the structure first tells us what to ask for. + +## Step 3: find all tags + +`find_all("a")` returns every anchor. In a loop, `get_text()` gives the text and `get("href")` the address. + +![Step 3: find_all](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-3-find-all.png) + +**What we gained:** one call finds many elements, and a loop turns them into data. + +## Step 4: find by id and by class + +`find(id="name")` finds one tag by its id. `find_all("h3", class_="heading")` filters by tag and class; the keyword is `class_` because `class` is a Python keyword. + +![Step 4: find by attribute](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-4-find.png) + +**What we gained:** attributes narrow a search, and we avoid clashes with reserved words. + +## Step 5: CSS selectors + +`select_one("p a")` and `select(".heading")` use the same selectors as CSS, so nested elements are reached in one expression. + +![Step 5: select](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-5-select.png) + +**What we gained:** CSS selectors are the shortest way to describe where an element sits in the document. + +## What we gained + +We can read an HTML file into BeautifulSoup, look at its structure and pick out single or many elements by tag, id, class or CSS selector. diff --git a/docs/wiki/Scraping-Ethics.md b/docs/wiki/Scraping-Ethics.md new file mode 100644 index 0000000..69d2a3e --- /dev/null +++ b/docs/wiki/Scraping-Ethics.md @@ -0,0 +1,24 @@ +**English** · [Dansk](Scraping-Ethics-da) · [Bahasa Melayu](Scraping-Ethics-ms) + +# Is web scraping legal and ethical? + +Lecture: *The legal and ethical side of web scraping*. This is a summary in our own words, not legal advice. + +## Step 1: read robots.txt first + +A site's `robots.txt` says what it allows. Hacker News disallows some paths and asks for a crawl delay of 30 seconds. + +![Step 1: robots.txt](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/ethics-1-robots.png) + +**What we gained:** we check the rules before we scrape, and we keep our requests rare: this project fetches one page per run. + +## The rules we follow + +- Public data that is not copyrighted is generally fine to read. The cases Genius v. Google and hiQ v. LinkedIn show that the line is not simple. +- Copyrighted content, such as videos or blog posts, must not be copied. Data behind a login is covered by the site's user agreement. +- Commercial use of scraped data can lead to costly disputes even when the scraping itself was allowed. +- Prefer an official API, respect `robots.txt`, send a `User-Agent` and do not send more than one request a minute. + +## What we gained + +Scraping is a technical skill with legal and ethical limits. Knowing the limits is part of doing it well. diff --git a/docs/wiki/Setup.md b/docs/wiki/Setup.md new file mode 100644 index 0000000..381c7f5 --- /dev/null +++ b/docs/wiki/Setup.md @@ -0,0 +1,38 @@ +**English** · [Dansk](Setup-da) · [Bahasa Melayu](Setup-ms) + +# Setup + +You need Python 3.13 or newer. Everything below is run from the repository root. + +## Create the virtual environment + +```powershell +python -m venv .venv +.venv\Scripts\Activate.ps1 +python -m pip install --upgrade pip +python -m pip install -e ".[dev]" +``` + +On Linux and macOS use `python3 -m venv .venv` and `source .venv/bin/activate`. + +## Run a lecture step + +```bash +python -m scrape_movies soup title +python -m scrape_movies hacker-news top +python -m scrape_movies movies write +``` + +## Run the tests + +```bash +python -m pytest +``` + +The tests use saved pages from `tests/fixtures/` and never touch the network. + +## What we gained + +- A virtual environment keeps the project's packages apart from the system Python. +- `pyproject.toml` is the one place for the Python version, the dependencies and the tool settings. +- Tests that run offline give the same result on every machine. diff --git a/docs/wiki/Top-100-Movies.md b/docs/wiki/Top-100-Movies.md new file mode 100644 index 0000000..68c0221 --- /dev/null +++ b/docs/wiki/Top-100-Movies.md @@ -0,0 +1,59 @@ +**English** · [Dansk](Top-100-Movies-da) · [Bahasa Melayu](Top-100-Movies-ms) + +# Top 100 movies + +Lecture: *The 100 movies project*. The goal is `movies.txt` with the titles numbered from `1)` upwards. The code is `empire_movies.py` (parsing), `movie.py` (reverse and number) and `movie_file.py` (writing). + +## Step 1: choose the page + +The assignment pins an Internet Archive snapshot of Empire's list, because live sites change. The screenshot shows the saved headings of the page. + +![Step 1: the page](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-1-page.png) + +**What we gained:** a pinned snapshot makes a scraper repeatable. + +## Step 2: inspect the markup + +The 2020 page has `

`; the current page has `

` headings that start with a rank. + +![Step 2: markup](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-2-markup.png) + +**What we gained:** when a site changes its markup, the parser must change with it, so we keep both layouts covered. + +## Step 3: titles in page order + +`select("h3.title")` and a list comprehension over `get_text()`. The page counts down from 100. + +![Step 3: titles](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-3-titles.png) + +**What we gained:** a list comprehension is the compact way to collect text from many tags. + +## Step 4: reverse the list + +`titles[::-1]` makes the list count up from 1. + +![Step 4: reversed](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-4-reversed.png) + +**What we gained:** slicing with a negative step reverses a list in one expression. + +## Step 5: write movies.txt + +A `with open(...)` block writes one title per line. + +![Step 5: write](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-5-write.png) + +**What we gained:** the context manager closes the file for us, and the same run always gives the same file. + +## Step 6: the result + +![Step 6: movies.txt](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-6-file.png) + +**What we gained:** a personal watch list from a website, ready to pick a film from at random. + +## Note on the data + +`movies.txt` was produced from the current Empire list on 2026-10-28, so its ranking differs from the 2020 list in the lecture. The Internet Archive answered `429 Too Many Requests` while we built this, so the snapshot layout is covered by a hand-written sample in the tests. + +## What we gained + +We can scrape a ranked list, put it in the order we want and save it to a file. -- 2.54.0 From f873bf4e2c760b77adbf39794348e69ee5b8df8c Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:01 +0800 Subject: [PATCH 2/8] Translate the wiki to Danish Task: MIL-005#2 Closes #30 --- docs/wiki/Gains-da.md | 17 ++++++++++ docs/wiki/Hacker-News-da.md | 57 +++++++++++++++++++++++++++++++ docs/wiki/Home-da.md | 23 +++++++++++++ docs/wiki/Parsing-HTML-da.md | 49 +++++++++++++++++++++++++++ docs/wiki/Scraping-Ethics-da.md | 24 ++++++++++++++ docs/wiki/Setup-da.md | 38 +++++++++++++++++++++ docs/wiki/Top-100-Movies-da.md | 59 +++++++++++++++++++++++++++++++++ 7 files changed, 267 insertions(+) create mode 100644 docs/wiki/Gains-da.md create mode 100644 docs/wiki/Hacker-News-da.md create mode 100644 docs/wiki/Home-da.md create mode 100644 docs/wiki/Parsing-HTML-da.md create mode 100644 docs/wiki/Scraping-Ethics-da.md create mode 100644 docs/wiki/Setup-da.md create mode 100644 docs/wiki/Top-100-Movies-da.md diff --git a/docs/wiki/Gains-da.md b/docs/wiki/Gains-da.md new file mode 100644 index 0000000..b1f1e60 --- /dev/null +++ b/docs/wiki/Gains-da.md @@ -0,0 +1,17 @@ +[English](Gains) · **Dansk** · [Bahasa Melayu](Gains-ms) + +# Hvad vi lærte + +| Forelæsning | Hvad vi kan nu | +| --- | --- | +| [Parsing af HTML](Parsing-HTML-da) | Lave en suppe, læse dens struktur og vælge elementer via tag, id, klasse eller CSS-selektor | +| [Hacker News](Hacker-News-da) | Hente en live-side, læse titler, links og scores, omdanne tekst til tal og finde maksimum | +| [Etik ved scraping](Scraping-Ethics-da) | Tjekke `robots.txt`, respektere ophavsret og logins og holde forespørgslerne sjældne | +| [Top 100 film](Top-100-Movies-da) | Scrape en rangeret liste, vende den om og skrive den til en fil | +| [Opsætning](Setup-da) | Arbejde i et virtuelt miljø med `pyproject.toml` og offline-tests | + +## Ud over forelæsningerne + +- **Parsing er adskilt fra hentning.** Parsing-funktionerne tager tekst, så testene bruger gemte sider og aldrig har brug for netværket. +- **Lag holder reglerne adskilt.** Rangeringsreglen kender hverken BeautifulSoup eller Requests. +- **Skærmbillederne laves af et script** (`tools/make_screenshots.py`), så de kan genskabes efter en ændring. diff --git a/docs/wiki/Hacker-News-da.md b/docs/wiki/Hacker-News-da.md new file mode 100644 index 0000000..411e1c5 --- /dev/null +++ b/docs/wiki/Hacker-News-da.md @@ -0,0 +1,57 @@ +[English](Hacker-News) · **Dansk** · [Bahasa Melayu](Hacker-News-ms) + +# Scraping af Hacker News + +Forelæsning: *Scraping af et live-websted*. Koden er `hacker_news.py` (parsing) og `http_client.py` (ét `requests.get` med timeout og `User-Agent`). Kommandoerne læser kursets statiske kopi af siden; `--source live` læser det rigtige websted, og `--source fixture` læser den gemte kopi uden netværk. + +## Trin 1: se på siden + +Siden viser historier med en titel, et link og en score. + +![Trin 1: siden](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-1-page.png) + +**Hvad vi lærte:** live-data er rigere end en lokal fil, men de kan ændre sig, så vi gemmer også en kopi til testene. + +## Trin 2: undersøg markup + +Browserens udviklerværktøjer viser tagsene: en række `tr.athing`, titellinket `.titleline > a` og en `span.score` i næste række. + +![Trin 2: markup](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-2-markup.png) + +**Hvad vi lærte:** vi finder det rigtige tag ved at undersøge siden, før vi skriver kode. + +## Trin 3: titler + +`find_all` på titellinkene og `get_text()`. + +![Trin 3: titler](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-3-titles.png) + +**Hvad vi lærte:** en list comprehension gør mange tags til en almindelig liste af strenge. + +## Trin 4: links + +`get("href")` på de samme links. + +![Trin 4: links](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-4-links.png) + +**Hvad vi lærte:** det samme element giver både tekst og attributværdier. + +## Trin 5: upvotes + +Teksten `38 points` deles op og omdannes med `int()`. + +![Trin 5: upvotes](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-5-upvotes.png) + +**Hvad vi lærte:** scrapet tekst skal omdannes til tal, før den kan sammenlignes. + +## Trin 6: den øverste historie + +`max` over upvotes finder den mest populære artikel. + +![Trin 6: øverste historie](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-6-top.png) + +**Hvad vi lærte:** når data er rene, besvarer almindelig Python spørgsmål om dem. + +## Hvad vi lærte + +Vi kan hente en side med Requests, finde rækkerne, læse titler, links og scores, omdanne dem til brugbare typer og besvare et spørgsmål om data. diff --git a/docs/wiki/Home-da.md b/docs/wiki/Home-da.md new file mode 100644 index 0000000..cf1be59 --- /dev/null +++ b/docs/wiki/Home-da.md @@ -0,0 +1,23 @@ +[English](Home) · **Dansk** · [Bahasa Melayu](Home-ms) + +# scrape-movies wiki + +Dag 45 af Udemys "100 Days of Code: The Complete Python Pro Bootcamp" handler om web scraping med Requests og BeautifulSoup. Dette repository gengiver hvert trin fra forelæsningerne som testet Python-kode. Wikien viser hvert trin med et skærmbillede og forklarer, hvad vi lærte af det. + +## Sider + +| Side | Forelæsning | Indhold | +| --- | --- | --- | +| [Opsætning](Setup-da) | - | Opret `.venv`, installér og kør testene | +| [Parsing af HTML](Parsing-HTML-da) | Parsing af HTML og at lave suppe; find og vælg elementer | Fem trin med skærmbilleder | +| [Hacker News](Hacker-News-da) | Scraping af et live-websted | Seks trin med skærmbilleder | +| [Etik ved scraping](Scraping-Ethics-da) | Er web scraping lovligt og etisk? | Reglerne vi følger, med et skærmbillede af `robots.txt` | +| [Top 100 film](Top-100-Movies-da) | Projektet med de 100 film | Seks trin og `movies.txt` | +| [Hvad vi lærte](Gains-da) | Alle forelæsninger | Et kort resumé af færdighederne | + +## Til hvem + +- **Kursister:** læsbar, kørbar kode med opgavens idéer; sammenlign den med din egen løsning. +- **Besøgende:** et lille eksempel med tests og kun to afhængigheder ved kørsel, `requests` og `beautifulsoup4`. + +Koden og dokumenterne findes i [repositoryet](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies). diff --git a/docs/wiki/Parsing-HTML-da.md b/docs/wiki/Parsing-HTML-da.md new file mode 100644 index 0000000..2a2e201 --- /dev/null +++ b/docs/wiki/Parsing-HTML-da.md @@ -0,0 +1,49 @@ +[English](Parsing-HTML) · **Dansk** · [Bahasa Melayu](Parsing-HTML-ms) + +# Parsing af HTML + +Forelæsninger: *Parsing af HTML og at lave suppe* og *Find og vælg elementer*. Eksempelsiden er `tests/fixtures/website.html`; koden er `soup_basics.py`. + +## Trin 1: lav en suppe og læs titlen + +`BeautifulSoup(html, "html.parser")` gør HTML-teksten til et suppe-objekt. `soup.title.string` er teksten i title-tagget. + +![Trin 1: soup title](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-1-title.png) + +**Hvad vi lærte:** HTML-tekst bliver til et objekt, vi kan navigere i, og et tag nås med almindelig attributadgang. + +## Trin 2: prettify + +`soup.prettify()` skriver dokumentet med ét tag pr. linje, så indlejringen bliver synlig. + +![Trin 2: prettify](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-2-prettify.png) + +**Hvad vi lærte:** når vi først læser strukturen, ved vi, hvad vi skal spørge om. + +## Trin 3: find alle tags + +`find_all("a")` giver alle links. I en løkke giver `get_text()` teksten og `get("href")` adressen. + +![Trin 3: find_all](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-3-find-all.png) + +**Hvad vi lærte:** ét kald finder mange elementer, og en løkke gør dem til data. + +## Trin 4: find med id og klasse + +`find(id="name")` finder ét tag via dets id. `find_all("h3", class_="heading")` filtrerer på tag og klasse; nøgleordet er `class_`, fordi `class` er et reserveret ord i Python. + +![Trin 4: find via attribut](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-4-find.png) + +**Hvad vi lærte:** attributter indsnævrer en søgning, og vi undgår sammenstød med reserverede ord. + +## Trin 5: CSS-selektorer + +`select_one("p a")` og `select(".heading")` bruger de samme selektorer som CSS, så indlejrede elementer nås i ét udtryk. + +![Trin 5: select](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-5-select.png) + +**Hvad vi lærte:** CSS-selektorer er den korteste måde at beskrive, hvor et element sidder i dokumentet. + +## Hvad vi lærte + +Vi kan læse en HTML-fil ind i BeautifulSoup, se dens struktur og udvælge enkelte eller mange elementer via tag, id, klasse eller CSS-selektor. diff --git a/docs/wiki/Scraping-Ethics-da.md b/docs/wiki/Scraping-Ethics-da.md new file mode 100644 index 0000000..2bb7aad --- /dev/null +++ b/docs/wiki/Scraping-Ethics-da.md @@ -0,0 +1,24 @@ +[English](Scraping-Ethics) · **Dansk** · [Bahasa Melayu](Scraping-Ethics-ms) + +# Er web scraping lovligt og etisk? + +Forelæsning: *Web scrapings juridiske og etiske side*. Dette er et resumé med egne ord og ikke juridisk rådgivning. + +## Trin 1: læs robots.txt først + +Et websteds `robots.txt` fortæller, hvad det tillader. Hacker News forbyder nogle stier og beder om en pause på 30 sekunder mellem forespørgsler. + +![Trin 1: robots.txt](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/ethics-1-robots.png) + +**Hvad vi lærte:** vi tjekker reglerne, før vi scraper, og vi holder forespørgslerne sjældne: dette projekt henter én side pr. kørsel. + +## Reglerne vi følger + +- Offentlige data uden ophavsret må generelt gerne læses. Sagerne Genius mod Google og hiQ mod LinkedIn viser, at grænsen ikke er enkel. +- Indhold med ophavsret, som videoer eller blogindlæg, må ikke kopieres. Data bag et login er omfattet af webstedets brugeraftale. +- Kommerciel brug af scrapede data kan føre til dyre tvister, selv når selve scrapingen var tilladt. +- Foretræk et officielt API, respektér `robots.txt`, send en `User-Agent`, og send højst én forespørgsel i minuttet. + +## Hvad vi lærte + +Scraping er en teknisk færdighed med juridiske og etiske grænser. At kende grænserne er en del af at gøre det godt. diff --git a/docs/wiki/Setup-da.md b/docs/wiki/Setup-da.md new file mode 100644 index 0000000..9feb349 --- /dev/null +++ b/docs/wiki/Setup-da.md @@ -0,0 +1,38 @@ +[English](Setup) · **Dansk** · [Bahasa Melayu](Setup-ms) + +# Opsætning + +Du skal bruge Python 3.13 eller nyere. Alt nedenfor køres fra repositoryets rodmappe. + +## Opret det virtuelle miljø + +```powershell +python -m venv .venv +.venv\Scripts\Activate.ps1 +python -m pip install --upgrade pip +python -m pip install -e ".[dev]" +``` + +På Linux og macOS bruges `python3 -m venv .venv` og `source .venv/bin/activate`. + +## Kør et trin fra forelæsningen + +```bash +python -m scrape_movies soup title +python -m scrape_movies hacker-news top +python -m scrape_movies movies write +``` + +## Kør testene + +```bash +python -m pytest +``` + +Testene bruger gemte sider fra `tests/fixtures/` og rører aldrig netværket. + +## Hvad vi lærte + +- Et virtuelt miljø holder projektets pakker adskilt fra systemets Python. +- `pyproject.toml` er det ene sted for Python-versionen, afhængighederne og værktøjsindstillingerne. +- Tests, der kører offline, giver det samme resultat på alle maskiner. diff --git a/docs/wiki/Top-100-Movies-da.md b/docs/wiki/Top-100-Movies-da.md new file mode 100644 index 0000000..a667573 --- /dev/null +++ b/docs/wiki/Top-100-Movies-da.md @@ -0,0 +1,59 @@ +[English](Top-100-Movies) · **Dansk** · [Bahasa Melayu](Top-100-Movies-ms) + +# Top 100 film + +Forelæsning: *Projektet med de 100 film*. Målet er `movies.txt` med titlerne nummereret fra `1)` og opefter. Koden er `empire_movies.py` (parsing), `movie.py` (vend om og nummerér) og `movie_file.py` (skrivning). + +## Trin 1: vælg siden + +Opgaven fastlåser et øjebliksbillede fra Internet Archive af Empires liste, fordi levende websteder ændrer sig. Skærmbilledet viser sidens gemte overskrifter. + +![Trin 1: siden](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-1-page.png) + +**Hvad vi lærte:** et fastlåst øjebliksbillede gør en scraper gentagelig. + +## Trin 2: undersøg markup + +Siden fra 2020 har `

`; den nuværende side har `

`-overskrifter, der begynder med en placering. + +![Trin 2: markup](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-2-markup.png) + +**Hvad vi lærte:** når et websted ændrer markup, skal parseren følge med, så vi dækker begge opbygninger. + +## Trin 3: titler i sidens rækkefølge + +`select("h3.title")` og en list comprehension over `get_text()`. Siden tæller ned fra 100. + +![Trin 3: titler](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-3-titles.png) + +**Hvad vi lærte:** en list comprehension er den kompakte måde at samle tekst fra mange tags. + +## Trin 4: vend listen om + +`titles[::-1]` får listen til at tælle op fra 1. + +![Trin 4: omvendt](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-4-reversed.png) + +**Hvad vi lærte:** udsnit med negativt trin vender en liste om i ét udtryk. + +## Trin 5: skriv movies.txt + +En `with open(...)`-blok skriver én titel pr. linje. + +![Trin 5: skriv](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-5-write.png) + +**Hvad vi lærte:** kontekstmanageren lukker filen for os, og den samme kørsel giver altid den samme fil. + +## Trin 6: resultatet + +![Trin 6: movies.txt](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-6-file.png) + +**Hvad vi lærte:** en personlig film-seerliste fra et websted, klar til at vælge en film tilfældigt. + +## Note om data + +`movies.txt` blev lavet ud fra Empires nuværende liste den 2026-10-28, så placeringerne afviger fra listen fra 2020 i forelæsningen. Internet Archive svarede `429 Too Many Requests`, mens vi byggede projektet, så opbygningen af øjebliksbilledet er dækket af et håndskrevet eksempel i testene. + +## Hvad vi lærte + +Vi kan scrape en rangeret liste, lægge den i den rækkefølge vi vil have og gemme den i en fil. -- 2.54.0 From 0e1f2c8537a38581fe3191efbafca8cd42374874 Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:02 +0800 Subject: [PATCH 3/8] Translate the wiki to Bahasa Malaysia Task: MIL-005#3 Closes #31 --- docs/wiki/Gains-ms.md | 17 ++++++++++ docs/wiki/Hacker-News-ms.md | 57 +++++++++++++++++++++++++++++++ docs/wiki/Home-ms.md | 23 +++++++++++++ docs/wiki/Parsing-HTML-ms.md | 49 +++++++++++++++++++++++++++ docs/wiki/Scraping-Ethics-ms.md | 24 ++++++++++++++ docs/wiki/Setup-ms.md | 38 +++++++++++++++++++++ docs/wiki/Top-100-Movies-ms.md | 59 +++++++++++++++++++++++++++++++++ 7 files changed, 267 insertions(+) create mode 100644 docs/wiki/Gains-ms.md create mode 100644 docs/wiki/Hacker-News-ms.md create mode 100644 docs/wiki/Home-ms.md create mode 100644 docs/wiki/Parsing-HTML-ms.md create mode 100644 docs/wiki/Scraping-Ethics-ms.md create mode 100644 docs/wiki/Setup-ms.md create mode 100644 docs/wiki/Top-100-Movies-ms.md diff --git a/docs/wiki/Gains-ms.md b/docs/wiki/Gains-ms.md new file mode 100644 index 0000000..d549e9d --- /dev/null +++ b/docs/wiki/Gains-ms.md @@ -0,0 +1,17 @@ +[English](Gains) · [Dansk](Gains-da) · **Bahasa Melayu** + +# Apa yang kita pelajari + +| Kuliah | Apa yang boleh kita lakukan sekarang | +| --- | --- | +| [Menghurai HTML](Parsing-HTML-ms) | Membuat sup, membaca strukturnya dan memilih elemen mengikut tag, id, kelas atau pemilih CSS | +| [Hacker News](Hacker-News-ms) | Mengambil halaman langsung, membaca tajuk, pautan dan skor, menukar teks kepada nombor dan mencari nilai maksimum | +| [Etika mengikis web](Scraping-Ethics-ms) | Menyemak `robots.txt`, menghormati hak cipta dan log masuk, menjarangkan permintaan | +| [100 filem terbaik](Top-100-Movies-ms) | Mengikis senarai berkedudukan, membalikkannya dan menulisnya ke fail | +| [Persediaan](Setup-ms) | Bekerja dalam persekitaran maya dengan `pyproject.toml` dan ujian tanpa talian | + +## Selain kuliah + +- **Penghuraian dipisahkan daripada pengambilan.** Fungsi penghuraian menerima teks, jadi ujian menggunakan halaman tersimpan dan tidak memerlukan rangkaian. +- **Lapisan mengasingkan peraturan.** Peraturan kedudukan tidak mengetahui BeautifulSoup atau Requests. +- **Tangkapan skrin dibuat oleh skrip** (`tools/make_screenshots.py`), jadi ia boleh dijana semula selepas perubahan. diff --git a/docs/wiki/Hacker-News-ms.md b/docs/wiki/Hacker-News-ms.md new file mode 100644 index 0000000..1d9036c --- /dev/null +++ b/docs/wiki/Hacker-News-ms.md @@ -0,0 +1,57 @@ +[English](Hacker-News) · [Dansk](Hacker-News-da) · **Bahasa Melayu** + +# Mengikis Hacker News + +Kuliah: *Mengikis laman web langsung*. Kodnya ialah `hacker_news.py` (penghuraian) dan `http_client.py` (satu `requests.get` dengan had masa dan `User-Agent`). Arahan membaca salinan statik halaman daripada kursus; `--source live` membaca laman sebenar dan `--source fixture` membaca salinan tersimpan tanpa rangkaian. + +## Langkah 1: lihat halaman + +Halaman menyenaraikan berita dengan tajuk, pautan dan skor. + +![Langkah 1: halaman](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-1-page.png) + +**Apa yang kita pelajari:** data langsung lebih kaya daripada fail tempatan, tetapi boleh berubah, jadi kita juga menyimpan salinan untuk ujian. + +## Langkah 2: periksa markup + +Alat pembangun pelayar menunjukkan tag: baris `tr.athing`, pautan tajuk `.titleline > a` dan `span.score` pada baris seterusnya. + +![Langkah 2: markup](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-2-markup.png) + +**Apa yang kita pelajari:** kita menemui tag yang betul dengan memeriksa halaman sebelum menulis kod. + +## Langkah 3: tajuk + +`find_all` pada pautan tajuk dan `get_text()`. + +![Langkah 3: tajuk](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-3-titles.png) + +**Apa yang kita pelajari:** list comprehension menukar banyak tag menjadi senarai rentetan biasa. + +## Langkah 4: pautan + +`get("href")` pada anchor yang sama. + +![Langkah 4: pautan](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-4-links.png) + +**Apa yang kita pelajari:** elemen yang sama memberi teks dan nilai atribut. + +## Langkah 5: undian + +Teks `38 points` dipecahkan dan ditukar dengan `int()`. + +![Langkah 5: undian](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-5-upvotes.png) + +**Apa yang kita pelajari:** teks yang dikikis mesti ditukar kepada nombor sebelum boleh dibandingkan. + +## Langkah 6: berita teratas + +`max` pada undian mencari artikel paling popular. + +![Langkah 6: berita teratas](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/hn-6-top.png) + +**Apa yang kita pelajari:** apabila data sudah bersih, Python biasa menjawab soalan tentangnya. + +## Apa yang kita pelajari + +Kita boleh mengambil halaman dengan Requests, menemui baris, membaca tajuk, pautan dan skor, menukarnya kepada jenis yang berguna dan menjawab soalan tentang data. diff --git a/docs/wiki/Home-ms.md b/docs/wiki/Home-ms.md new file mode 100644 index 0000000..5ae0e5a --- /dev/null +++ b/docs/wiki/Home-ms.md @@ -0,0 +1,23 @@ +[English](Home) · [Dansk](Home-da) · **Bahasa Melayu** + +# Wiki scrape-movies + +Hari ke-45 kursus Udemy "100 Days of Code: The Complete Python Pro Bootcamp" membincangkan pengikisan web (web scraping) dengan Requests dan BeautifulSoup. Repositori ini menghasilkan semula setiap langkah kuliah sebagai kod Python yang diuji. Wiki ini menunjukkan setiap langkah dengan tangkapan skrin dan menerangkan apa yang kita pelajari daripadanya. + +## Halaman + +| Halaman | Kuliah | Kandungan | +| --- | --- | --- | +| [Persediaan](Setup-ms) | - | Cipta `.venv`, pasang dan jalankan ujian | +| [Menghurai HTML](Parsing-HTML-ms) | Menghurai HTML dan membuat sup; mencari dan memilih elemen | Lima langkah dengan tangkapan skrin | +| [Hacker News](Hacker-News-ms) | Mengikis laman web langsung | Enam langkah dengan tangkapan skrin | +| [Etika mengikis web](Scraping-Ethics-ms) | Adakah pengikisan web sah dan beretika? | Peraturan yang kita ikut, dengan tangkapan skrin `robots.txt` | +| [100 filem terbaik](Top-100-Movies-ms) | Projek 100 filem | Enam langkah dan `movies.txt` | +| [Apa yang kita pelajari](Gains-ms) | Semua kuliah | Ringkasan kemahiran | + +## Untuk siapa + +- **Peserta kursus:** kod yang mudah dibaca dan boleh dijalankan dengan idea tugasan; bandingkan dengan penyelesaian anda sendiri. +- **Pelawat:** contoh kecil dengan ujian dan hanya dua kebergantungan semasa larian, `requests` dan `beautifulsoup4`. + +Kod dan dokumen terdapat dalam [repositori](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies). diff --git a/docs/wiki/Parsing-HTML-ms.md b/docs/wiki/Parsing-HTML-ms.md new file mode 100644 index 0000000..a5af29a --- /dev/null +++ b/docs/wiki/Parsing-HTML-ms.md @@ -0,0 +1,49 @@ +[English](Parsing-HTML) · [Dansk](Parsing-HTML-da) · **Bahasa Melayu** + +# Menghurai HTML + +Kuliah: *Menghurai HTML dan Membuat Sup* dan *Mencari dan Memilih Elemen*. Halaman contoh ialah `tests/fixtures/website.html`; kodnya ialah `soup_basics.py`. + +## Langkah 1: cipta sup dan baca tajuk + +`BeautifulSoup(html, "html.parser")` menukar teks HTML menjadi objek sup. `soup.title.string` ialah teks dalam tag title. + +![Langkah 1: soup title](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-1-title.png) + +**Apa yang kita pelajari:** teks HTML menjadi objek yang boleh dilayari, dan satu tag dicapai dengan akses atribut biasa. + +## Langkah 2: prettify + +`soup.prettify()` menulis dokumen dengan satu tag setiap baris supaya sarangan kelihatan. + +![Langkah 2: prettify](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-2-prettify.png) + +**Apa yang kita pelajari:** dengan membaca struktur dahulu, kita tahu apa yang perlu diminta. + +## Langkah 3: cari semua tag + +`find_all("a")` memberi semua pautan. Dalam gelung, `get_text()` memberi teks dan `get("href")` memberi alamat. + +![Langkah 3: find_all](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-3-find-all.png) + +**Apa yang kita pelajari:** satu panggilan menemui banyak elemen, dan gelung menukarnya menjadi data. + +## Langkah 4: cari mengikut id dan kelas + +`find(id="name")` mencari satu tag mengikut id. `find_all("h3", class_="heading")` menapis mengikut tag dan kelas; kata kuncinya ialah `class_` kerana `class` ialah kata kunci Python. + +![Langkah 4: cari mengikut atribut](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-4-find.png) + +**Apa yang kita pelajari:** atribut mengecilkan carian, dan kita mengelak pertembungan dengan kata terpelihara. + +## Langkah 5: pemilih CSS + +`select_one("p a")` dan `select(".heading")` menggunakan pemilih yang sama seperti CSS, jadi elemen bersarang dicapai dalam satu ungkapan. + +![Langkah 5: select](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/soup-5-select.png) + +**Apa yang kita pelajari:** pemilih CSS ialah cara paling ringkas untuk menerangkan kedudukan elemen dalam dokumen. + +## Apa yang kita pelajari + +Kita boleh membaca fail HTML ke dalam BeautifulSoup, melihat strukturnya dan memilih satu atau banyak elemen mengikut tag, id, kelas atau pemilih CSS. diff --git a/docs/wiki/Scraping-Ethics-ms.md b/docs/wiki/Scraping-Ethics-ms.md new file mode 100644 index 0000000..0be8b55 --- /dev/null +++ b/docs/wiki/Scraping-Ethics-ms.md @@ -0,0 +1,24 @@ +[English](Scraping-Ethics) · [Dansk](Scraping-Ethics-da) · **Bahasa Melayu** + +# Adakah pengikisan web sah dan beretika? + +Kuliah: *Aspek undang-undang dan etika pengikisan web*. Ini ringkasan dengan kata-kata sendiri dan bukan nasihat undang-undang. + +## Langkah 1: baca robots.txt dahulu + +`robots.txt` sesebuah laman menyatakan apa yang dibenarkan. Hacker News melarang beberapa laluan dan meminta jeda 30 saat antara permintaan. + +![Langkah 1: robots.txt](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/ethics-1-robots.png) + +**Apa yang kita pelajari:** kita menyemak peraturan sebelum mengikis dan menjarangkan permintaan: projek ini mengambil satu halaman setiap larian. + +## Peraturan yang kita ikut + +- Data awam yang tidak dilindungi hak cipta umumnya boleh dibaca. Kes Genius lawan Google dan hiQ lawan LinkedIn menunjukkan bahawa garisnya tidak mudah. +- Kandungan berhak cipta, seperti video atau catatan blog, tidak boleh disalin. Data di sebalik log masuk dilindungi perjanjian pengguna laman itu. +- Penggunaan komersial data yang dikikis boleh membawa pertikaian yang mahal walaupun pengikisan itu sendiri dibenarkan. +- Pilih API rasmi jika ada, hormati `robots.txt`, hantar `User-Agent` dan jangan hantar lebih daripada satu permintaan seminit. + +## Apa yang kita pelajari + +Pengikisan web ialah kemahiran teknikal yang mempunyai had undang-undang dan etika. Mengetahui had itu sebahagian daripada melakukannya dengan baik. diff --git a/docs/wiki/Setup-ms.md b/docs/wiki/Setup-ms.md new file mode 100644 index 0000000..83708b7 --- /dev/null +++ b/docs/wiki/Setup-ms.md @@ -0,0 +1,38 @@ +[English](Setup) · [Dansk](Setup-da) · **Bahasa Melayu** + +# Persediaan + +Anda memerlukan Python 3.13 atau lebih baharu. Semua arahan di bawah dijalankan dari akar repositori. + +## Cipta persekitaran maya + +```powershell +python -m venv .venv +.venv\Scripts\Activate.ps1 +python -m pip install --upgrade pip +python -m pip install -e ".[dev]" +``` + +Di Linux dan macOS gunakan `python3 -m venv .venv` dan `source .venv/bin/activate`. + +## Jalankan satu langkah kuliah + +```bash +python -m scrape_movies soup title +python -m scrape_movies hacker-news top +python -m scrape_movies movies write +``` + +## Jalankan ujian + +```bash +python -m pytest +``` + +Ujian menggunakan halaman tersimpan dalam `tests/fixtures/` dan tidak pernah menyentuh rangkaian. + +## Apa yang kita pelajari + +- Persekitaran maya mengasingkan pakej projek daripada Python sistem. +- `pyproject.toml` ialah satu tempat untuk versi Python, kebergantungan dan tetapan alat. +- Ujian yang berjalan tanpa talian memberi keputusan yang sama pada setiap mesin. diff --git a/docs/wiki/Top-100-Movies-ms.md b/docs/wiki/Top-100-Movies-ms.md new file mode 100644 index 0000000..07c5ea5 --- /dev/null +++ b/docs/wiki/Top-100-Movies-ms.md @@ -0,0 +1,59 @@ +[English](Top-100-Movies) · [Dansk](Top-100-Movies-da) · **Bahasa Melayu** + +# 100 filem terbaik + +Kuliah: *Projek 100 filem*. Matlamatnya ialah `movies.txt` dengan tajuk bernombor bermula dari `1)`. Kodnya ialah `empire_movies.py` (penghuraian), `movie.py` (terbalikkan dan nomborkan) dan `movie_file.py` (penulisan). + +## Langkah 1: pilih halaman + +Tugasan mengunci syot kilat Internet Archive bagi senarai Empire kerana laman langsung sentiasa berubah. Tangkapan skrin menunjukkan tajuk halaman yang disimpan. + +![Langkah 1: halaman](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-1-page.png) + +**Apa yang kita pelajari:** syot kilat yang dikunci menjadikan pengikis boleh diulang. + +## Langkah 2: periksa markup + +Halaman 2020 mempunyai `

`; halaman semasa mempunyai tajuk `

` yang bermula dengan kedudukan. + +![Langkah 2: markup](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-2-markup.png) + +**Apa yang kita pelajari:** apabila laman mengubah markup, penghurai mesti berubah bersama, jadi kita menampung kedua-dua susunan. + +## Langkah 3: tajuk mengikut susunan halaman + +`select("h3.title")` dan list comprehension pada `get_text()`. Halaman mengira turun dari 100. + +![Langkah 3: tajuk](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-3-titles.png) + +**Apa yang kita pelajari:** list comprehension ialah cara ringkas mengumpul teks daripada banyak tag. + +## Langkah 4: terbalikkan senarai + +`titles[::-1]` menjadikan senarai mengira naik dari 1. + +![Langkah 4: terbalik](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-4-reversed.png) + +**Apa yang kita pelajari:** hirisan dengan langkah negatif membalikkan senarai dalam satu ungkapan. + +## Langkah 5: tulis movies.txt + +Blok `with open(...)` menulis satu tajuk setiap baris. + +![Langkah 5: tulis](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-5-write.png) + +**Apa yang kita pelajari:** pengurus konteks menutup fail untuk kita, dan larian yang sama sentiasa menghasilkan fail yang sama. + +## Langkah 6: hasilnya + +![Langkah 6: movies.txt](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/raw/branch/main/docs/images/movies-6-file.png) + +**Apa yang kita pelajari:** senarai tontonan peribadi daripada sebuah laman web, sedia untuk memilih filem secara rawak. + +## Nota tentang data + +`movies.txt` dihasilkan daripada senarai Empire semasa pada 2026-10-28, jadi kedudukannya berbeza daripada senarai 2020 dalam kuliah. Internet Archive menjawab `429 Too Many Requests` semasa kami membina projek ini, jadi susunan syot kilat dilindungi oleh contoh tulisan tangan dalam ujian. + +## Apa yang kita pelajari + +Kita boleh mengikis senarai berkedudukan, menyusunnya mengikut keperluan dan menyimpannya dalam fail. -- 2.54.0 From e6b71238e681b44241d8426e8fd294e64b4f70f5 Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:03 +0800 Subject: [PATCH 4/8] Add wiki sidebar and footer Task: MIL-005#4 Closes #32 --- docs/wiki/_Footer.md | 1 + docs/wiki/_Sidebar.md | 29 +++++++++++++++++++++++++++++ 2 files changed, 30 insertions(+) create mode 100644 docs/wiki/_Footer.md create mode 100644 docs/wiki/_Sidebar.md diff --git a/docs/wiki/_Footer.md b/docs/wiki/_Footer.md new file mode 100644 index 0000000..1e40f64 --- /dev/null +++ b/docs/wiki/_Footer.md @@ -0,0 +1 @@ +scrape-movies · Day 45 of 100 Days of Code · [Repository](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies) · English · Dansk · Bahasa Melayu diff --git a/docs/wiki/_Sidebar.md b/docs/wiki/_Sidebar.md new file mode 100644 index 0000000..62463dd --- /dev/null +++ b/docs/wiki/_Sidebar.md @@ -0,0 +1,29 @@ +**English** · [Dansk](Home-da) · [Bahasa Melayu](Home-ms) + +- [Home](Home) +- [Setup](Setup) +- [Parsing HTML](Parsing-HTML) +- [Hacker News](Hacker-News) +- [Scraping ethics](Scraping-Ethics) +- [Top 100 movies](Top-100-Movies) +- [What we gained](Gains) + +**Dansk** + +- [Hjem](Home-da) +- [Opsætning](Setup-da) +- [Parsing af HTML](Parsing-HTML-da) +- [Hacker News](Hacker-News-da) +- [Etik ved scraping](Scraping-Ethics-da) +- [Top 100 film](Top-100-Movies-da) +- [Hvad vi lærte](Gains-da) + +**Bahasa Melayu** + +- [Utama](Home-ms) +- [Persediaan](Setup-ms) +- [Menghurai HTML](Parsing-HTML-ms) +- [Hacker News](Hacker-News-ms) +- [Etika mengikis web](Scraping-Ethics-ms) +- [100 filem terbaik](Top-100-Movies-ms) +- [Apa yang kita pelajari](Gains-ms) -- 2.54.0 From 97ef7a4364fd12ebd6c61f5b940b0fa94bb02174 Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:04 +0800 Subject: [PATCH 5/8] Add the robots.txt screenshot and wiki links to the README Task: MIL-005#5 Closes #33 --- README.md | 10 ++++++++-- docs/images/ethics-1-robots.png | Bin 0 -> 15518 bytes tools/make_screenshots.py | 25 +++++++++++++++++++++++++ 3 files changed, 33 insertions(+), 2 deletions(-) create mode 100644 docs/images/ethics-1-robots.png diff --git a/README.md b/README.md index 65268fe..aa9df93 100644 --- a/README.md +++ b/README.md @@ -154,7 +154,13 @@ python -m scrape_movies hacker-news top ### Lecture: Is web scraping legal and ethical? -A short summary in our own words; it is not legal advice. +A short summary in our own words; it is not legal advice. Reading the site's `robots.txt` comes first: + +```bash +curl https://news.ycombinator.com/robots.txt +``` + +![Ethics step 1: robots.txt](docs/images/ethics-1-robots.png) - **Public, non-copyrighted data** is generally fine to read. Court cases such as Genius v. Google and hiQ v. LinkedIn show that the line is not simple. - **Copyrighted content** (a video, a blog post) must not be copied, and **data behind a login** is covered by the site's user agreement, so do not scrape it. @@ -222,7 +228,7 @@ See [LICENSE](./LICENSE). ## 🔗 Links - [Repository][repository] -- [Documentation][documentation] +- [Documentation][documentation]: wiki in [English](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/wiki/Home), [Dansk](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/wiki/Home-da) and [Bahasa Melayu](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/wiki/Home-ms); the pages are in `docs/wiki/` - [Issue tracker][issues] ## 📎 Appendix: Project documents diff --git a/docs/images/ethics-1-robots.png b/docs/images/ethics-1-robots.png new file mode 100644 index 0000000000000000000000000000000000000000..fdf7c818f3eca49d92cbee84e45dd5569bd60ee7 GIT binary patch literal 15518 zcmbt*2Rzk%-~Ueu$xc*cWTdi3_Kc8KD0_rZnIU_G5Q-4lB0FTyLpGUZWgQu1lfC(W zPF?qSuKT{9>v{gq^?F@iIyk@e{k}i%b)Mf+mLw0X)z4P6aJ36n9%DPGtPT+t=*&Y``49!`(5rp^IF+xN_?Z5f9@oZb& zQP&sU{jNd&<=JWUYm&-MAC) zA9oD->2_vj{9*nSpG%oGtMdz*T#A$%$3L#=BxPoQVC0Lbz*kUB$;{?_$cu=CoX}3* zRnV(t%BbmGlT-D)oq}apP=AN|U(b+^8Pl((23WQm@!=g9W=QAq z7|+BN9Ntu|&79}R;z2}e(gpmo>%xwPT+6Po?&P8Tv+FWCk)KtGJ{}bmA)ETtDgzUr z(Ls~5+QD-K$m8o+nP>!A_steS5Oe$!=Mk^8TS-{|{kLa54|k@ex3Cbz&x@27L6qJ~ z97npz@&AwCwirK6m=O8i7oYdizzm*N9DY$?$xTNEelE$c7Ed}o+oO48>r$OW(73d2 z5{hI5I1HCBKdALSk@C<*Ie1(3u|S-4_0Eqz4KBa4)Agp0QO^@9kL6?}Zzneg*%7rz zFNuxXzn!fsJQdxfI1w%EdAJ|Oq;U7WCfCb(UVi?NmoM+CsZretU-&vSM22nq{nP8) zd{0>wTd+8nm^VM1+j2K&@58_JS)n!5C_0M2`n{mu+LPWzEh^JKlYWuySuA=E0s?|G zmBienB+e}6L0el}LC-@sYwP8V7_SI1!>Y|DUutC1%7{4DcFZ3~HOGbw6_G+Cd6k9b z?ANor`VZaQj`CxkYERR~7tEd|@!T68)A!iMhQ8X6ijA*J`~{i1oy`uqE7M4UckWj!n!rCBHM&()isnaOzf zZoNlET;|4&&5ezm^Aeq*VPR5YEuTIKxvaCuoF3e%bX>l2^(u$v2MH~$ouT4KvLQ5! zbGuts<2C}hxw$uP+_-u3rkw(GA+fPKCMJyKv^a2UcD_d$z#-}6Plq&D z+D*TVi5c=faVjDr!UI-Ty+3gf&dtuwPF;2l6_t>#X|wzH@0*#OdRF)GqXZ%0i=RJj zR`@P4GQNBF&cwtd`0GwOYIEojDJiL>q$K?26ghj;UZ?Of+zUs0`&-n=r%#`B*`qp4 z;i7)-><3YDq@|{AY;JbKmG7*6FSQqf&l)&oA0MB< zz`*SUv%BHL@`o^{7uWR*eGAQCyfv7k%|&;2_bXSf;1bhVSX+-3 zKN?v5-j-QOPn<4b<>Ap|l-(HXie~in-DF)9KXnu_HQD>|DLM2-c)sP7 zqVb7{Hh=z{S=e9p#35IDcfT$2`}gmb=&I;OBN=Jw_qye)4bM+c?Nq}FEq%?OM5A0& z4${L~O@@Yt*PKLJW6N}{?%wUMaF|zAR217=C@d%_sHzh2rW+X@MO9U8E{(cwE$N*) z6%;S*xVgFcoSYHE&>L_Ix_pvIfZ${rPo^@}VD3JRj4sL;^RA3sbV zJ(}06eA3t3tBZ1Zy^AExRN2esu|6ShyvL(UoS8Ua?KC)E3B-+FJDsNVZVO;dZMeXr-z4+Z=>l273@G68JQC&PQcT^mhA2CKY#8V+{-2^ zYZFt`hYudi&dy%GawY79OG78|Wj;O!SVvQ3U2r4=gGB0JHEP7g#Ray^%NH-$I5;l3 zzIpX(d}>O%1XgZSLxYIhc4(^!ji^ged3iJ)9-MGNaaoyDi>Qia*@Zi*s${26*H5px zy13-(qlS8Wc_(Ubj5^Q0)Yn>I39L75p?SGo^-nnjlL{OWRr=i<%gIzO=NYQ)=}p zq$^RpYuqLv|G|R?q@qjn^J;hR(oEvhin=hmj0_EBrKDUJW504`V#Vp&wQK3h@qxj? 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FILES: dict[str, tuple[str, int]] = {"movies-6-file": ("movies.txt", 15)} +## Screenshots of a small text page: image name and the address of the page. +ROBOTS: dict[str, str] = {"ethics-1-robots": "https://news.ycombinator.com/robots.txt"} ## Screenshots of real web pages: image name and the address of the page. PAGES: dict[str, str] = { "hn-1-page": "https://appbrewery.github.io/news.ycombinator.com/", @@ -67,6 +70,25 @@ def capture(name: str, args: list[str]) -> Path: return target +def capture_text(name: str, url: str) -> Path: + """@brief Download a small text file once and draw it like `curl` output. + + Reading `robots.txt` is the first thing a polite scraper does. + + @param name The image name without extension. + @param url The address of the text file. + @return The path of the PNG. + """ + from scrape_movies.constants import USER_AGENT + + request = urllib.request.Request(url, headers={"User-Agent": USER_AGENT}) + with urllib.request.urlopen(request, timeout=30) as response: # noqa: S310 + text = response.read().decode("utf-8") + target = IMAGES / f"{name}.png" + render(f"curl {url}", text, target) + return target + + def main() -> None: """@brief Capture every step whose name starts with the given prefix.""" prefix = sys.argv[1] if len(sys.argv) > 1 else "" @@ -80,6 +102,9 @@ def main() -> None: shown = os.linesep.join(text.splitlines()[:count]) render(f"head -n {count} {file_name}", shown, target) print(target) + for name, url in ROBOTS.items(): + if name.startswith(prefix): + print(capture_text(name, url)) for name, url in PAGES.items(): if name.startswith(prefix): print(capture_page(url, IMAGES / f"{name}.png")) -- 2.54.0 From c2a1847cfee94bf15bde1bc86187c50a0d4e1e38 Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:05 +0800 Subject: [PATCH 6/8] Test that the wiki has the same pages in every language Task: MIL-005#6 Closes #34 --- tests/unit/test_wiki.py | 67 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 67 insertions(+) create mode 100644 tests/unit/test_wiki.py diff --git a/tests/unit/test_wiki.py b/tests/unit/test_wiki.py new file mode 100644 index 0000000..3b86867 --- /dev/null +++ b/tests/unit/test_wiki.py @@ -0,0 +1,67 @@ +import re + +from scrape_movies.constants import PROJECT_ROOT + +WIKI = PROJECT_ROOT / "docs" / "wiki" +IMAGES = PROJECT_ROOT / "docs" / "images" +LANGUAGES = {"": "**English**", "-da": "**Dansk**", "-ms": "**Bahasa Melayu**"} +STEP_PAGES = ("Parsing-HTML", "Hacker-News", "Scraping-Ethics", "Top-100-Movies") +GAINED = {"": "What we gained", "-da": "Hvad vi lærte", "-ms": "Apa yang kita pelajari"} +IMAGE = re.compile(r"!\[[^\]]*\]\(https://[^)]*/docs/images/([^)]+\.png)\)") +CODE_BLOCK = re.compile(r"```.*?```", re.DOTALL) + + +def _pages(suffix: str) -> set[str]: + names = {path.stem for path in WIKI.glob("*.md") if not path.stem.startswith("_")} + if suffix: + return {name[: -len(suffix)] for name in names if name.endswith(suffix)} + return {name for name in names if not name.endswith(("-da", "-ms"))} + + +def _read(page: str, suffix: str) -> str: + return (WIKI / f"{page}{suffix}.md").read_text(encoding="utf-8") + + +def test_wiki_when_translated_has_same_page_set_in_every_language() -> None: + english = _pages("") + assert english + for suffix in ("-da", "-ms"): + assert _pages(suffix) == english, suffix + + +def test_wiki_when_page_opens_has_language_switch_line() -> None: + for suffix, marker in LANGUAGES.items(): + for page in _pages(""): + first_line = _read(page, suffix).splitlines()[0] + assert marker in first_line, (page, suffix) + assert first_line.count("](") == 2, (page, suffix) + + +def test_wiki_when_step_page_has_screenshots_and_gains_in_every_language() -> None: + for page in STEP_PAGES: + english_images = IMAGE.findall(_read(page, "")) + assert english_images, page + for suffix, gained in GAINED.items(): + text = _read(page, suffix) + assert IMAGE.findall(text) == english_images, (page, suffix) + assert f"## {gained}" in text, (page, suffix) + + +def test_wiki_when_images_are_linked_every_file_exists() -> None: + for path in WIKI.glob("*.md"): + for name in IMAGE.findall(path.read_text(encoding="utf-8")): + assert (IMAGES / name).is_file(), (path.name, name) + + +def test_wiki_when_translated_keeps_code_blocks_in_english() -> None: + for page in _pages(""): + english = CODE_BLOCK.findall(_read(page, "")) + for suffix in ("-da", "-ms"): + assert CODE_BLOCK.findall(_read(page, suffix)) == english, (page, suffix) + + +def test_sidebar_when_read_lists_every_language_page() -> None: + sidebar = (WIKI / "_Sidebar.md").read_text(encoding="utf-8") + for suffix in LANGUAGES: + for page in _pages(""): + assert f"]({page}{suffix})" in sidebar, (page, suffix) -- 2.54.0 From 8f6b0fc541ba26d5212d5cb8e6ef579ca14b32fe Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:29 +0800 Subject: [PATCH 7/8] Add code review record for MIL-005 --- docs/artifact-registry.md | 2 +- docs/sqa/reviews/rc-015-mil-005-python.md | 62 +++++++++++++++++++++++ 2 files changed, 63 insertions(+), 1 deletion(-) create mode 100644 docs/sqa/reviews/rc-015-mil-005-python.md diff --git a/docs/artifact-registry.md b/docs/artifact-registry.md index 54c0f3e..d5c0b17 100644 --- a/docs/artifact-registry.md +++ b/docs/artifact-registry.md @@ -15,7 +15,7 @@ document of a type. `Primary File` may contain a glob (e.g. | SA | Stakeholder Analysis | docs/stakeholder-analysis.md | 002 | | PP | Project Plan | docs/project-plan.md | 002 | | MIL | Milestone / Gateway | docs/milestones/*.md | 006 | -| RC | SQA Review Record | docs/sqa/reviews/rc-*.md | 015 | +| RC | SQA Review Record | docs/sqa/reviews/rc-*.md | 016 | ## Languages diff --git a/docs/sqa/reviews/rc-015-mil-005-python.md b/docs/sqa/reviews/rc-015-mil-005-python.md new file mode 100644 index 0000000..7c15a0c --- /dev/null +++ b/docs/sqa/reviews/rc-015-mil-005-python.md @@ -0,0 +1,62 @@ +# Review of MIL-005 Python code + +## Metadata +| Key | Value | +| --- | --- | +| ID | RC-015 | +| CrossReference | [MIL-005], [QC-PY-001] | + +## Version History +| Date | Status | Author | Reviewer | Change | Commit | +| --- | --- | --- | --- | --- | --- | +| 2026-10-28 | Proposed | Jens Tirsvad Nielsen | S01 (AI as stand-in, autonomous mode) | Initial version | pending | + +--- + +## Artifact Under Review + +- Instance reviewed: [MIL-005] +- Checklist used: [QC-PY-001] +- Scope: full review. Code reviewed: tests/unit/test_wiki.py and tools/make_screenshots.py (robots.txt step). The wiki pages are Markdown with no QC checklist; they are checked by test_wiki.py (page set, language line, screenshots, gains heading, code blocks, sidebar) and read by the stand-in reviewer. +- Language and domain: n/a (technical type) +- Language reviewer: none +- Mode: autonomous, not independent (reviewer is `AI as stand-in for S01`) + +## Checklist Results + +| # | Criterion | Status | Evidence/Notes | +| --- | --- | --- | --- | +| 1 | Packages, modules, functions, variables, classes and constants follow PEP 8 casing (`snake_case`, `PascalCase`, `UPPER_SNAKE`) | Pass | modules and functions are snake_case, classes PascalCase, constants UPPER_SNAKE. | +| 2 | Names state purpose in the domain's language; no unexplained abbreviations, no single-letter names outside tiny scopes | Pass | names state purpose; the lecture names (`find_all`, `select_one`) are kept in the helper names. | +| 3 | Code is produced by the project's formatter and passes its linter with no unexplained suppressions | Pass | `ruff check` and `ruff format --check` are clean with no `noqa`. | +| 4 | Every function and method signature is type-annotated, including `-> None` | Pass | every signature is annotated; `mypy --strict` passes, also in a venv without the third-party packages. | +| 5 | No bare `except:`, no swallowed exceptions; specific exceptions are raised and the cause is kept (`raise ... from`) | N-A | no exception is raised or caught. | +| 6 | No mutable default arguments and no shadowed builtins | Pass | no mutable defaults, no shadowed builtins. | +| 7 | Files, locks and connections are managed with context managers | Pass | `urllib.request.urlopen` is used in a `with` block in the screenshot tool. | +| 8 | Public modules, classes and functions have docstrings that say what, not how | Pass | every public module, class and function has a Doxygen docstring saying what it does. | +| 9 | Logging uses `logging`, not `print`; no secrets or personal data in log output | N-A | no logging; the tool prints the path of each image it writes. | +| 10 | Classes and operations trace to the Design Class Diagram they implement; deviations are recorded | N-A | no Design Class Diagram; all tasks are plain technical tasks (Needs Use Case: No). | +| 11 | Tests exist for new behaviour, are named for the behaviour, and do not depend on order or the network | Pass | tests are named for behaviour, offline and independent of order. | +| 12 | Type checker runs in strict mode without errors; `Any` is justified in a comment | Pass | `mypy --strict` runs over `src`, `tests` and `tools`. | +| 13 | Dependencies are declared and pinned in the project's dependency file, none unused | Fail | dependencies are declared with lower bounds, not pinned (see RC-009 action item); none is unused. | +| 14 | Each piece of knowledge (a business rule, constant, format, validation or query) is defined in one place; code is merged only where it expresses the same knowledge, not where it merely looks alike | Pass | each constant and format is defined once; the step texts are built in one place. | +| 15 | Imports point inward: business-rule modules import no framework, database, UI or delivery-mechanism code, and there are no import cycles | Pass | `domain` imports nothing from other layers; `infrastructure` imports `domain` and `constants`; `presentation` composes them. | +| 16 | SOLID holds: a class or module has one reason to change; new behaviour is added by extension, not by editing a type test in several places; subclasses honour the contract of their base; protocols are narrow; high-level code depends on protocols or abstract types and receives its implementations | Pass | no class hierarchy; the dataclass `Link` has one reason to change. | +| 17 | Source is laid out in the layers and folders of the clean architecture folder structure (`domain`, `application`, `infrastructure`, `presentation` packages under `src/`, and `unit`, `integration` and `e2e` under `tests/`), in `snake_case`, and imports between the layers point inward | Pass | the wiki test is in `tests/unit`; no source layer changed. | +| 18 | File and folder names are English, contain no space and no character outside letters, digits, `-`, `_` and `.`, and follow the casing of the language for files | Pass | all names are English lowercase with `_`, no space. | + +## Overall Verdict + +Go — no Mandatory criterion fails and none is Pending. Stand-in review in autonomous mode, not independent; S01 challenges it in the run summary. + +## Action Items + +| Action | Owner | Due | +| --- | --- | --- | +| Pin dependencies or accept lower bounds (open from RC-009, optional criterion 13) | S01 | 2026-11-14 | +| Ask a native Danish and Malay reader to review the translations (the translations are written by the AI) | S01 | 2026-11-14 | + +--- + +[MIL-005]: ../../milestones/mil-005-wiki.md +[QC-PY-001]: ../../../framework/qc/code/qc-programming-python.md -- 2.54.0 From f367284af15e327e9f467060bf6b9e6381c4c930 Mon Sep 17 00:00:00 2001 From: Jens Tirsvad Nielsen Date: Wed, 28 Oct 2026 14:35:30 +0800 Subject: [PATCH 8/8] Resolve pending commit links --- docs/sqa/reviews/rc-015-mil-005-python.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/sqa/reviews/rc-015-mil-005-python.md b/docs/sqa/reviews/rc-015-mil-005-python.md index 7c15a0c..f13bab1 100644 --- a/docs/sqa/reviews/rc-015-mil-005-python.md +++ b/docs/sqa/reviews/rc-015-mil-005-python.md @@ -9,7 +9,7 @@ ## Version History | Date | Status | Author | Reviewer | Change | Commit | | --- | --- | --- | --- | --- | --- | -| 2026-10-28 | Proposed | Jens Tirsvad Nielsen | S01 (AI as stand-in, autonomous mode) | Initial version | pending | +| 2026-10-28 | Proposed | Jens Tirsvad Nielsen | S01 (AI as stand-in, autonomous mode) | Initial version | [8f6b0fc] | --- @@ -60,3 +60,4 @@ Go — no Mandatory criterion fails and none is Pending. Stand-in review in auto [MIL-005]: ../../milestones/mil-005-wiki.md [QC-PY-001]: ../../../framework/qc/code/qc-programming-python.md +[8f6b0fc]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/045-scrape-movies/commit/8f6b0fc541ba26d5212d5cb8e6ef579ca14b32fe -- 2.54.0